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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2206.05897 | Lin Tian | Lin Tian, Hastings Greer, Fran\c{c}ois-Xavier Vialard, Roland Kwitt,
Ra\'ul San Jos\'e Est\'epar, Richard Jarrett Rushmore, Nikolaos Makris,
Sylvain Bouix, Marc Niethammer | $\texttt{GradICON}$: Approximate Diffeomorphisms via Gradient Inverse
Consistency | 29 pages, 16 figures, CVPR 2023 | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present an approach to learning regular spatial transformations between
image pairs in the context of medical image registration. Contrary to
optimization-based registration techniques and many modern learning-based
methods, we do not directly penalize transformation irregularities but instead
promote transformati... | [
{
"created": "Mon, 13 Jun 2022 04:03:49 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Dec 2022 19:56:37 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Apr 2023 05:44:39 GMT",
"version": "v3"
},
{
"created": "Tue, 10 Oct 2023 03:42:57 GMT",
"version": "v4"
}
] | 2023-10-11 | [
[
"Tian",
"Lin",
""
],
[
"Greer",
"Hastings",
""
],
[
"Vialard",
"François-Xavier",
""
],
[
"Kwitt",
"Roland",
""
],
[
"Estépar",
"Raúl San José",
""
],
[
"Rushmore",
"Richard Jarrett",
""
],
[
"Makris",
"Nikolao... | We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration. Contrary to optimization-based registration techniques and many modern learning-based methods, we do not directly penalize transformation irregularities but instead promote transformation... |
2311.01717 | Zherong Pan | Chen Liang, Xifeng Gao, Kui Wu, Zherong Pan | Second-Order Convergent Collision-Constrained Optimization-Based Planner | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding robot poses and trajectories represents a foundational aspect of
robot motion planning. Despite decades of research, efficiently and robustly
addressing these challenges is still difficult. Existing approaches are often
plagued by various limitations, such as intricate geometric approximations,
violations of ... | [
{
"created": "Fri, 3 Nov 2023 05:21:03 GMT",
"version": "v1"
}
] | 2023-11-06 | [
[
"Liang",
"Chen",
""
],
[
"Gao",
"Xifeng",
""
],
[
"Wu",
"Kui",
""
],
[
"Pan",
"Zherong",
""
]
] | Finding robot poses and trajectories represents a foundational aspect of robot motion planning. Despite decades of research, efficiently and robustly addressing these challenges is still difficult. Existing approaches are often plagued by various limitations, such as intricate geometric approximations, violations of co... |
2309.05133 | David Heath | David Heath | Parallel RAM from Cyclic Circuits | null | null | null | null | cs.DS cs.CC | http://creativecommons.org/licenses/by/4.0/ | Known simulations of random access machines (RAMs) or parallel RAMs (PRAMs)
by Boolean circuits incur significant polynomial blowup, due to the need to
repeatedly simulate accesses to a large main memory.
Consider a single modification to Boolean circuits that removes the
restriction that circuit graphs are acyclic... | [
{
"created": "Sun, 10 Sep 2023 20:53:18 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Oct 2023 16:39:37 GMT",
"version": "v2"
},
{
"created": "Fri, 27 Oct 2023 05:04:51 GMT",
"version": "v3"
}
] | 2023-10-30 | [
[
"Heath",
"David",
""
]
] | Known simulations of random access machines (RAMs) or parallel RAMs (PRAMs) by Boolean circuits incur significant polynomial blowup, due to the need to repeatedly simulate accesses to a large main memory. Consider a single modification to Boolean circuits that removes the restriction that circuit graphs are acyclic. We... |
1804.09194 | Martin R\"unz | Martin R\"unz, Maud Buffier, Lourdes Agapito | MaskFusion: Real-Time Recognition, Tracking and Reconstruction of
Multiple Moving Objects | Presented at IEEE International Symposium on Mixed and Augmented
Reality (ISMAR) 2018 | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D
SLAM system that goes beyond traditional systems which output a purely
geometric map of a static scene. MaskFusion recognizes, segments and assigns
semantic class labels to different objects in the scene, while tracking and
reconstructing th... | [
{
"created": "Tue, 24 Apr 2018 18:15:15 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Oct 2018 17:47:27 GMT",
"version": "v2"
}
] | 2018-10-23 | [
[
"Rünz",
"Martin",
""
],
[
"Buffier",
"Maud",
""
],
[
"Agapito",
"Lourdes",
""
]
] | We present MaskFusion, a real-time, object-aware, semantic and dynamic RGB-D SLAM system that goes beyond traditional systems which output a purely geometric map of a static scene. MaskFusion recognizes, segments and assigns semantic class labels to different objects in the scene, while tracking and reconstructing them... |
2408.06872 | Mike Perkins | Mike Perkins (1), Jasper Roe (2) ((1) British University Vietnam, (2)
James Cook University Singapore) | Generative AI Tools in Academic Research: Applications and Implications
for Qualitative and Quantitative Research Methodologies | null | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-sa/4.0/ | This study examines the impact of Generative Artificial Intelligence (GenAI)
on academic research, focusing on its application to qualitative and
quantitative data analysis. As GenAI tools evolve rapidly, they offer new
possibilities for enhancing research productivity and democratising complex
analytical processes. ... | [
{
"created": "Tue, 13 Aug 2024 13:10:03 GMT",
"version": "v1"
}
] | 2024-08-14 | [
[
"Perkins",
"Mike",
""
],
[
"Roe",
"Jasper",
""
]
] | This study examines the impact of Generative Artificial Intelligence (GenAI) on academic research, focusing on its application to qualitative and quantitative data analysis. As GenAI tools evolve rapidly, they offer new possibilities for enhancing research productivity and democratising complex analytical processes. Ho... |
2310.18011 | Kathleen Gregory | Kathleen Gregory, Laura Koesten, Regina Schuster, Torsten M\"oller,
Sarah Davies | Data journeys in popular science: Producing climate change and COVID-19
data visualizations at Scientific American | 44 pages, 4 figures, 3 boxes | null | 10.1162/99608f92.141c99cf | null | cs.DL cs.HC physics.pop-ph | http://creativecommons.org/licenses/by/4.0/ | Vast amounts of (open) data are increasingly used to make arguments about
crisis topics such as climate change and global pandemics. Data visualizations
are central to bringing these viewpoints to broader publics. However,
visualizations often conceal the many contexts involved in their production,
ranging from decis... | [
{
"created": "Fri, 27 Oct 2023 09:39:06 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Mar 2024 08:01:34 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Mar 2024 08:13:14 GMT",
"version": "v3"
}
] | 2024-03-28 | [
[
"Gregory",
"Kathleen",
""
],
[
"Koesten",
"Laura",
""
],
[
"Schuster",
"Regina",
""
],
[
"Möller",
"Torsten",
""
],
[
"Davies",
"Sarah",
""
]
] | Vast amounts of (open) data are increasingly used to make arguments about crisis topics such as climate change and global pandemics. Data visualizations are central to bringing these viewpoints to broader publics. However, visualizations often conceal the many contexts involved in their production, ranging from decisio... |
1209.4420 | Chao Wang | Lan-Ting LI | An Efficient Color Face Verification Based on 2-Directional
2-Dimensional Feature Extraction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel and uniform framework for face verification is presented in this
paper. First of all, a 2-directional 2-dimensional feature extraction method is
adopted to extract client-specific template - 2D discrimant projection matrix.
Then the face skin color information is utilized as an additive feature to
enhance dec... | [
{
"created": "Thu, 20 Sep 2012 04:20:40 GMT",
"version": "v1"
}
] | 2012-09-21 | [
[
"LI",
"Lan-Ting",
""
]
] | A novel and uniform framework for face verification is presented in this paper. First of all, a 2-directional 2-dimensional feature extraction method is adopted to extract client-specific template - 2D discrimant projection matrix. Then the face skin color information is utilized as an additive feature to enhance decis... |
2101.05623 | David Pardo | M. Shahriari, A. Hazra, D. Pardo | Design of borehole resistivity measurement acquisition systems using
deep learning | null | null | null | null | cs.LG cs.NA eess.SP math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Borehole resistivity measurements recorded with logging-while-drilling (LWD)
instruments are widely used for characterizing the earth's subsurface
properties. They facilitate the extraction of natural resources such as oil and
gas. LWD instruments require real-time inversions of electromagnetic
measurements to estima... | [
{
"created": "Tue, 12 Jan 2021 12:49:44 GMT",
"version": "v1"
}
] | 2021-01-15 | [
[
"Shahriari",
"M.",
""
],
[
"Hazra",
"A.",
""
],
[
"Pardo",
"D.",
""
]
] | Borehole resistivity measurements recorded with logging-while-drilling (LWD) instruments are widely used for characterizing the earth's subsurface properties. They facilitate the extraction of natural resources such as oil and gas. LWD instruments require real-time inversions of electromagnetic measurements to estimate... |
1604.05603 | Wolfgang Dvo\v{r}\'ak | Wolfgang Dvo\v{r}\'ak and Monika Henzinger | Online Ad Assignment with an Ad Exchange | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Ad exchanges are becoming an increasingly popular way to sell advertisement
slots on the internet. An ad exchange is basically a spot market for ad
impressions. A publisher who has already signed contracts reserving
advertisement impressions on his pages can choose between assigning a new ad
impression for a new page... | [
{
"created": "Tue, 19 Apr 2016 14:44:55 GMT",
"version": "v1"
}
] | 2016-04-20 | [
[
"Dvořák",
"Wolfgang",
""
],
[
"Henzinger",
"Monika",
""
]
] | Ad exchanges are becoming an increasingly popular way to sell advertisement slots on the internet. An ad exchange is basically a spot market for ad impressions. A publisher who has already signed contracts reserving advertisement impressions on his pages can choose between assigning a new ad impression for a new page v... |
1808.09408 | Maximin Coavoux | Maximin Coavoux, Shashi Narayan, Shay B. Cohen | Privacy-preserving Neural Representations of Text | EMNLP 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article deals with adversarial attacks towards deep learning systems for
Natural Language Processing (NLP), in the context of privacy protection. We
study a specific type of attack: an attacker eavesdrops on the hidden
representations of a neural text classifier and tries to recover information
about the input t... | [
{
"created": "Tue, 28 Aug 2018 16:57:37 GMT",
"version": "v1"
}
] | 2018-08-29 | [
[
"Coavoux",
"Maximin",
""
],
[
"Narayan",
"Shashi",
""
],
[
"Cohen",
"Shay B.",
""
]
] | This article deals with adversarial attacks towards deep learning systems for Natural Language Processing (NLP), in the context of privacy protection. We study a specific type of attack: an attacker eavesdrops on the hidden representations of a neural text classifier and tries to recover information about the input tex... |
2307.05735 | Germ\'an Abrevaya | Germ\'an Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe
Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo
Cecchi, Guillaume Dumas | Effective Latent Differential Equation Models via Attention and Multiple
Shooting | null | null | null | null | cs.LG nlin.CD physics.data-an physics.med-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scientific Machine Learning (SciML) is a burgeoning field that
synergistically combines domain-aware and interpretable models with agnostic
machine learning techniques. In this work, we introduce GOKU-UI, an evolution
of the SciML generative model GOKU-nets. GOKU-UI not only broadens the original
model's spectrum to ... | [
{
"created": "Tue, 11 Jul 2023 19:03:17 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Sep 2023 13:23:39 GMT",
"version": "v2"
},
{
"created": "Thu, 14 Sep 2023 16:10:39 GMT",
"version": "v3"
}
] | 2023-09-15 | [
[
"Abrevaya",
"Germán",
""
],
[
"Ramezanian-Panahi",
"Mahta",
""
],
[
"Gagnon-Audet",
"Jean-Christophe",
""
],
[
"Polosecki",
"Pablo",
""
],
[
"Rish",
"Irina",
""
],
[
"Dawson",
"Silvina Ponce",
""
],
[
"Cecchi",
... | Scientific Machine Learning (SciML) is a burgeoning field that synergistically combines domain-aware and interpretable models with agnostic machine learning techniques. In this work, we introduce GOKU-UI, an evolution of the SciML generative model GOKU-nets. GOKU-UI not only broadens the original model's spectrum to in... |
2303.15676 | Niluthpol Chowdhury Mithun | Niluthpol Chowdhury Mithun, Kshitij Minhas, Han-Pang Chiu, Taragay
Oskiper, Mikhail Sizintsev, Supun Samarasekera, Rakesh Kumar | Cross-View Visual Geo-Localization for Outdoor Augmented Reality | IEEE VR 2023 | null | 10.1109/VR55154.2023.00064 | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Precise estimation of global orientation and location is critical to ensure a
compelling outdoor Augmented Reality (AR) experience. We address the problem of
geo-pose estimation by cross-view matching of query ground images to a
geo-referenced aerial satellite image database. Recently, neural network-based
methods ha... | [
{
"created": "Tue, 28 Mar 2023 01:58:03 GMT",
"version": "v1"
}
] | 2023-03-30 | [
[
"Mithun",
"Niluthpol Chowdhury",
""
],
[
"Minhas",
"Kshitij",
""
],
[
"Chiu",
"Han-Pang",
""
],
[
"Oskiper",
"Taragay",
""
],
[
"Sizintsev",
"Mikhail",
""
],
[
"Samarasekera",
"Supun",
""
],
[
"Kumar",
"Rakesh"... | Precise estimation of global orientation and location is critical to ensure a compelling outdoor Augmented Reality (AR) experience. We address the problem of geo-pose estimation by cross-view matching of query ground images to a geo-referenced aerial satellite image database. Recently, neural network-based methods have... |
2306.07643 | Grischa Liebel | Grischa Liebel and Steinunn Gr\'oa Sigur{\dh}ard\'ottir | Economical Accommodations for Neurodivergent Students in Software
Engineering Education: Experiences from an Intervention in Four Undergraduate
Courses | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Neurodiversity is an umbrella term that describes variation in brain function
among individuals, including conditions such as Attention deficit hyperactivity
disorder (ADHD), or dyslexia. Neurodiversity is common in the general
population, with an estimated 5.0% to 7.1% and 7% of the world population being
diagnosed ... | [
{
"created": "Tue, 13 Jun 2023 09:27:09 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Liebel",
"Grischa",
""
],
[
"Sigurðardóttir",
"Steinunn Gróa",
""
]
] | Neurodiversity is an umbrella term that describes variation in brain function among individuals, including conditions such as Attention deficit hyperactivity disorder (ADHD), or dyslexia. Neurodiversity is common in the general population, with an estimated 5.0% to 7.1% and 7% of the world population being diagnosed wi... |
2401.03429 | Zheng Lian | Zheng Lian, Licai Sun, Yong Ren, Hao Gu, Haiyang Sun, Lan Chen, Bin
Liu, Jianhua Tao | MERBench: A Unified Evaluation Benchmark for Multimodal Emotion
Recognition | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multimodal emotion recognition plays a crucial role in enhancing user
experience in human-computer interaction. Over the past few decades,
researchers have proposed a series of algorithms and achieved impressive
progress. Although each method shows its superior performance, different
methods lack a fair comparison du... | [
{
"created": "Sun, 7 Jan 2024 09:09:32 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Jan 2024 07:55:16 GMT",
"version": "v2"
},
{
"created": "Sun, 21 Apr 2024 02:18:47 GMT",
"version": "v3"
}
] | 2024-04-23 | [
[
"Lian",
"Zheng",
""
],
[
"Sun",
"Licai",
""
],
[
"Ren",
"Yong",
""
],
[
"Gu",
"Hao",
""
],
[
"Sun",
"Haiyang",
""
],
[
"Chen",
"Lan",
""
],
[
"Liu",
"Bin",
""
],
[
"Tao",
"Jianhua",
""
]
] | Multimodal emotion recognition plays a crucial role in enhancing user experience in human-computer interaction. Over the past few decades, researchers have proposed a series of algorithms and achieved impressive progress. Although each method shows its superior performance, different methods lack a fair comparison due ... |
1905.00538 | Sunghoon Im | Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon | DPSNet: End-to-end Deep Plane Sweep Stereo | ICLR2019 accepted | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiview stereo aims to reconstruct scene depth from images acquired by a
camera under arbitrary motion. Recent methods address this problem through deep
learning, which can utilize semantic cues to deal with challenges such as
textureless and reflective regions. In this paper, we present a convolutional
neural netw... | [
{
"created": "Thu, 2 May 2019 00:59:31 GMT",
"version": "v1"
}
] | 2019-05-03 | [
[
"Im",
"Sunghoon",
""
],
[
"Jeon",
"Hae-Gon",
""
],
[
"Lin",
"Stephen",
""
],
[
"Kweon",
"In So",
""
]
] | Multiview stereo aims to reconstruct scene depth from images acquired by a camera under arbitrary motion. Recent methods address this problem through deep learning, which can utilize semantic cues to deal with challenges such as textureless and reflective regions. In this paper, we present a convolutional neural networ... |
2308.03415 | Christian Huber | Christian Huber, Tu Anh Dinh, Carlos Mullov, Ngoc Quan Pham, Thai Binh
Nguyen, Fabian Retkowski, Stefan Constantin, Enes Yavuz Ugan, Danni Liu,
Zhaolin Li, Sai Koneru, Jan Niehues and Alexander Waibel | End-to-End Evaluation for Low-Latency Simultaneous Speech Translation | Demo paper at EMNLP 2023 | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | The challenge of low-latency speech translation has recently draw significant
interest in the research community as shown by several publications and shared
tasks. Therefore, it is essential to evaluate these different approaches in
realistic scenarios. However, currently only specific aspects of the systems
are eval... | [
{
"created": "Mon, 7 Aug 2023 09:06:20 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Oct 2023 11:47:04 GMT",
"version": "v2"
},
{
"created": "Wed, 17 Jul 2024 11:29:10 GMT",
"version": "v3"
}
] | 2024-07-18 | [
[
"Huber",
"Christian",
""
],
[
"Dinh",
"Tu Anh",
""
],
[
"Mullov",
"Carlos",
""
],
[
"Pham",
"Ngoc Quan",
""
],
[
"Nguyen",
"Thai Binh",
""
],
[
"Retkowski",
"Fabian",
""
],
[
"Constantin",
"Stefan",
""
],... | The challenge of low-latency speech translation has recently draw significant interest in the research community as shown by several publications and shared tasks. Therefore, it is essential to evaluate these different approaches in realistic scenarios. However, currently only specific aspects of the systems are evalua... |
1907.10206 | Jim Buchan | Jim Buchan, Stephen MacDonell, Jennifer Yang | Effective team onboarding in Agile software development: techniques and
goals | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Context: It is not uncommon for a new team member to join an existing Agile
software development team, even after development has started. This new team
member faces a number of challenges before they are integrated into the team
and can contribute productively to team progress. Ideally, each newcomer should
be suppo... | [
{
"created": "Wed, 24 Jul 2019 02:04:46 GMT",
"version": "v1"
}
] | 2019-07-25 | [
[
"Buchan",
"Jim",
""
],
[
"MacDonell",
"Stephen",
""
],
[
"Yang",
"Jennifer",
""
]
] | Context: It is not uncommon for a new team member to join an existing Agile software development team, even after development has started. This new team member faces a number of challenges before they are integrated into the team and can contribute productively to team progress. Ideally, each newcomer should be support... |
1405.1524 | Mohammad Mohammadi | Mohammad Mohammadi, Shahram Jafari | An expert system for recommending suitable ornamental fish addition to
an aquarium based on aquarium condition | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Expert systems prove to be suitable replacement for human experts when human
experts are unavailable for different reasons. Various expert system has been
developed for wide range of application. Although some expert systems in the
field of fishery and aquaculture has been developed but a system that aids user
in pro... | [
{
"created": "Wed, 7 May 2014 07:45:09 GMT",
"version": "v1"
}
] | 2014-05-08 | [
[
"Mohammadi",
"Mohammad",
""
],
[
"Jafari",
"Shahram",
""
]
] | Expert systems prove to be suitable replacement for human experts when human experts are unavailable for different reasons. Various expert system has been developed for wide range of application. Although some expert systems in the field of fishery and aquaculture has been developed but a system that aids user in proce... |
2405.15080 | Tom Goertzen | Tom Goertzen | Constructing Interlocking Assemblies with Crystallographic Symmetries | null | null | null | null | cs.CG math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work presents a construction method for interlocking assemblies based on
planar crystallographic symmetries. Planar crystallographic groups, also known
as wallpaper groups, correspond to tessellations of the plane with a tile,
called a fundamental domain, such that the action of the group can be used to
tessella... | [
{
"created": "Thu, 23 May 2024 22:05:01 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Goertzen",
"Tom",
""
]
] | This work presents a construction method for interlocking assemblies based on planar crystallographic symmetries. Planar crystallographic groups, also known as wallpaper groups, correspond to tessellations of the plane with a tile, called a fundamental domain, such that the action of the group can be used to tessellate... |
2405.19832 | Herman Cappelen | Herman Cappelen, Josh Dever and John Hawthorne | AI Safety: A Climb To Armageddon? | 20 page article | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an argument that certain AI safety measures, rather than
mitigating existential risk, may instead exacerbate it. Under certain key
assumptions - the inevitability of AI failure, the expected correlation between
an AI system's power at the point of failure and the severity of the resulting
harm, an... | [
{
"created": "Thu, 30 May 2024 08:41:54 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Jun 2024 22:32:46 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Cappelen",
"Herman",
""
],
[
"Dever",
"Josh",
""
],
[
"Hawthorne",
"John",
""
]
] | This paper presents an argument that certain AI safety measures, rather than mitigating existential risk, may instead exacerbate it. Under certain key assumptions - the inevitability of AI failure, the expected correlation between an AI system's power at the point of failure and the severity of the resulting harm, and ... |
2401.02804 | Yuta Okuyama | Yuta Okuyama, Yuki Endo, Yoshihiro Kanamori | DiffBody: Diffusion-based Pose and Shape Editing of Human Images | Accepted to WACV 2024, project page:
https://www.cgg.cs.tsukuba.ac.jp/~okuyama/pub/diffbody/ | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pose and body shape editing in a human image has received increasing
attention. However, current methods often struggle with dataset biases and
deteriorate realism and the person's identity when users make large edits. We
propose a one-shot approach that enables large edits with identity
preservation. To enable large... | [
{
"created": "Fri, 5 Jan 2024 13:36:19 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jan 2024 04:41:30 GMT",
"version": "v2"
}
] | 2024-01-09 | [
[
"Okuyama",
"Yuta",
""
],
[
"Endo",
"Yuki",
""
],
[
"Kanamori",
"Yoshihiro",
""
]
] | Pose and body shape editing in a human image has received increasing attention. However, current methods often struggle with dataset biases and deteriorate realism and the person's identity when users make large edits. We propose a one-shot approach that enables large edits with identity preservation. To enable large e... |
1910.11911 | Ariel Calderon | A. A. Calder\'on, Y. Chen, X. Yang, L. Chang, X.-T. Nguyen, E. K.
Singer, and N. O. P\'erez-Arancibia | Control of Flying Robotic Insects: A Perspective and Unifying Approach | ICAR 2019 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We discuss the problem of designing and implementing controllers for
insect-scale flapping-wing micro air vehicles (FWMAVs), from a unifying
perspective and employing two different experimental platforms; namely, a
Harvard RoboBee-like two-winged robot and the four-winged USC Bee+. Through
experiments, we demonstrate... | [
{
"created": "Fri, 25 Oct 2019 19:36:57 GMT",
"version": "v1"
}
] | 2019-10-29 | [
[
"Calderón",
"A. A.",
""
],
[
"Chen",
"Y.",
""
],
[
"Yang",
"X.",
""
],
[
"Chang",
"L.",
""
],
[
"Nguyen",
"X. -T.",
""
],
[
"Singer",
"E. K.",
""
],
[
"Pérez-Arancibia",
"N. O.",
""
]
] | We discuss the problem of designing and implementing controllers for insect-scale flapping-wing micro air vehicles (FWMAVs), from a unifying perspective and employing two different experimental platforms; namely, a Harvard RoboBee-like two-winged robot and the four-winged USC Bee+. Through experiments, we demonstrate t... |
2210.17367 | Yuya Yamamoto | Yuya Yamamoto, Juhan Nam, Hiroko Terasawa | Analysis and Detection of Singing Techniques in Repertoires of J-POP
Solo Singers | Accepted at ISMIR 2022, appendix website:
https://yamathcy.github.io/ISMIR2022J-POP/ | null | null | null | cs.SD cs.DL cs.IR cs.MM eess.AS | http://creativecommons.org/licenses/by/4.0/ | In this paper, we focus on singing techniques within the scope of music
information retrieval research. We investigate how singers use singing
techniques using real-world recordings of famous solo singers in Japanese
popular music songs (J-POP). First, we built a new dataset of singing
techniques. The dataset consist... | [
{
"created": "Mon, 31 Oct 2022 14:45:01 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Nov 2022 19:31:27 GMT",
"version": "v2"
}
] | 2022-11-17 | [
[
"Yamamoto",
"Yuya",
""
],
[
"Nam",
"Juhan",
""
],
[
"Terasawa",
"Hiroko",
""
]
] | In this paper, we focus on singing techniques within the scope of music information retrieval research. We investigate how singers use singing techniques using real-world recordings of famous solo singers in Japanese popular music songs (J-POP). First, we built a new dataset of singing techniques. The dataset consists ... |
1912.10764 | S\'ebastien Henwood | S\'ebastien Henwood, Fran\c{c}ois Leduc-Primeau and Yvon Savaria | Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks | To be presented at AICAS 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) depend on the storage of a large number of
parameters, which consumes an important portion of the energy used during
inference. This paper considers the case where the energy usage of memory
elements can be reduced at the cost of reduced reliability. A training
algorithm is proposed to opt... | [
{
"created": "Mon, 23 Dec 2019 12:36:51 GMT",
"version": "v1"
}
] | 2019-12-24 | [
[
"Henwood",
"Sébastien",
""
],
[
"Leduc-Primeau",
"François",
""
],
[
"Savaria",
"Yvon",
""
]
] | Deep neural networks (DNNs) depend on the storage of a large number of parameters, which consumes an important portion of the energy used during inference. This paper considers the case where the energy usage of memory elements can be reduced at the cost of reduced reliability. A training algorithm is proposed to optim... |
2202.07883 | Mohamed Nabeel | Wathsara Daluwatta, Ravindu De Silva, Sanduni Kariyawasam, Mohamed
Nabeel, Charith Elvitigala, Kasun De Zoysa, Chamath Keppitiyagama | CGraph: Graph Based Extensible Predictive Domain Threat Intelligence
Platform | threat intelligence graph investigation | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Ability to effectively investigate indicators of compromise and associated
network resources involved in cyber attacks is paramount not only to identify
affected network resources but also to detect related malicious resources.
Today, most of the cyber threat intelligence platforms are reactive in that
they can ident... | [
{
"created": "Wed, 16 Feb 2022 06:28:07 GMT",
"version": "v1"
}
] | 2022-02-17 | [
[
"Daluwatta",
"Wathsara",
""
],
[
"De Silva",
"Ravindu",
""
],
[
"Kariyawasam",
"Sanduni",
""
],
[
"Nabeel",
"Mohamed",
""
],
[
"Elvitigala",
"Charith",
""
],
[
"De Zoysa",
"Kasun",
""
],
[
"Keppitiyagama",
"Cha... | Ability to effectively investigate indicators of compromise and associated network resources involved in cyber attacks is paramount not only to identify affected network resources but also to detect related malicious resources. Today, most of the cyber threat intelligence platforms are reactive in that they can identif... |
2107.05146 | Alexander Lambert | Alexander Lambert, Byron Boots | Entropy Regularized Motion Planning via Stein Variational Inference | RSS 2021 Workshop on Integrating Planning and Learning | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Many Imitation and Reinforcement Learning approaches rely on the availability
of expert-generated demonstrations for learning policies or value functions
from data. Obtaining a reliable distribution of trajectories from motion
planners is non-trivial, since it must broadly cover the space of states likely
to be encou... | [
{
"created": "Sun, 11 Jul 2021 23:39:24 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"Lambert",
"Alexander",
""
],
[
"Boots",
"Byron",
""
]
] | Many Imitation and Reinforcement Learning approaches rely on the availability of expert-generated demonstrations for learning policies or value functions from data. Obtaining a reliable distribution of trajectories from motion planners is non-trivial, since it must broadly cover the space of states likely to be encount... |
2205.02211 | Bashar Alhafni | Bashar Alhafni, Nizar Habash, Houda Bouamor | User-Centric Gender Rewriting | Accepted at NAACL 2022 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we define the task of gender rewriting in contexts involving
two users (I and/or You) - first and second grammatical persons with
independent grammatical gender preferences. We focus on Arabic, a
gender-marking morphologically rich language. We develop a multi-step system
that combines the positive asp... | [
{
"created": "Wed, 4 May 2022 17:46:17 GMT",
"version": "v1"
}
] | 2022-05-05 | [
[
"Alhafni",
"Bashar",
""
],
[
"Habash",
"Nizar",
""
],
[
"Bouamor",
"Houda",
""
]
] | In this paper, we define the task of gender rewriting in contexts involving two users (I and/or You) - first and second grammatical persons with independent grammatical gender preferences. We focus on Arabic, a gender-marking morphologically rich language. We develop a multi-step system that combines the positive aspec... |
0710.4815 | EDA Publishing Association | Raul Blazquez, Fred Lee, David Wentzloff, Brian Ginsburg, Johnna
Powell, Anantha Chandrakasan | Direct Conversion Pulsed UWB Transceiver Architecture | Submitted on behalf of EDAA (http://www.edaa.com/) | Dans Design, Automation and Test in Europe | Designers'Forum -
DATE'05, Munich : Allemagne (2005) | null | null | cs.NI | null | Ultra-wideband (UWB) communication is an emerging wireless technology that
promises high data rates over short distances and precise locationing. The
large available bandwidth and the constraint of a maximum power spectral
density drives a unique set of system challenges. This paper addresses these
challenges using t... | [
{
"created": "Thu, 25 Oct 2007 12:01:54 GMT",
"version": "v1"
}
] | 2011-11-09 | [
[
"Blazquez",
"Raul",
""
],
[
"Lee",
"Fred",
""
],
[
"Wentzloff",
"David",
""
],
[
"Ginsburg",
"Brian",
""
],
[
"Powell",
"Johnna",
""
],
[
"Chandrakasan",
"Anantha",
""
]
] | Ultra-wideband (UWB) communication is an emerging wireless technology that promises high data rates over short distances and precise locationing. The large available bandwidth and the constraint of a maximum power spectral density drives a unique set of system challenges. This paper addresses these challenges using two... |
1912.08100 | Ning Li | Ning Li, Zhaoxin Zhang, Jose-Fernan Martinez-Ortega, Xin Yuan | Geographical and Topology Control based Opportunistic Routing for Ad Hoc
Networks | arXiv admin note: substantial text overlap with arXiv:1709.10317 | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The opportunistic routing has great advantages on improving packet delivery
probability between the source node and candidate forwarding set. For improving
and reducing energy consumption and network interference, in this paper, we
propose an efficient and reliable transmission power control based
opportunistic routi... | [
{
"created": "Mon, 16 Dec 2019 08:44:29 GMT",
"version": "v1"
}
] | 2019-12-18 | [
[
"Li",
"Ning",
""
],
[
"Zhang",
"Zhaoxin",
""
],
[
"Martinez-Ortega",
"Jose-Fernan",
""
],
[
"Yuan",
"Xin",
""
]
] | The opportunistic routing has great advantages on improving packet delivery probability between the source node and candidate forwarding set. For improving and reducing energy consumption and network interference, in this paper, we propose an efficient and reliable transmission power control based opportunistic routing... |
2307.16019 | Lia Morra | Francesco Manigrasso and Lia Morra and Fabrizio Lamberti | Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual
features matching | Accepted for publication at ICIAP 2023 | null | null | null | cs.CV cs.LG cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neuro-symbolic integration aims at harnessing the power of symbolic knowledge
representation combined with the learning capabilities of deep neural networks.
In particular, Logic Tensor Networks (LTNs) allow to incorporate background
knowledge in the form of logical axioms by grounding a first order logic
language as... | [
{
"created": "Sat, 29 Jul 2023 16:21:40 GMT",
"version": "v1"
}
] | 2023-08-01 | [
[
"Manigrasso",
"Francesco",
""
],
[
"Morra",
"Lia",
""
],
[
"Lamberti",
"Fabrizio",
""
]
] | Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic Tensor Networks (LTNs) allow to incorporate background knowledge in the form of logical axioms by grounding a first order logic language as d... |
2204.00536 | Chuhan Wu | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang | Semi-FairVAE: Semi-supervised Fair Representation Learning with
Adversarial Variational Autoencoder | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Adversarial learning is a widely used technique in fair representation
learning to remove the biases on sensitive attributes from data
representations. It usually requires to incorporate the sensitive attribute
labels as prediction targets. However, in many scenarios the sensitive
attribute labels of many samples can... | [
{
"created": "Fri, 1 Apr 2022 15:57:47 GMT",
"version": "v1"
}
] | 2022-04-04 | [
[
"Wu",
"Chuhan",
""
],
[
"Wu",
"Fangzhao",
""
],
[
"Qi",
"Tao",
""
],
[
"Huang",
"Yongfeng",
""
]
] | Adversarial learning is a widely used technique in fair representation learning to remove the biases on sensitive attributes from data representations. It usually requires to incorporate the sensitive attribute labels as prediction targets. However, in many scenarios the sensitive attribute labels of many samples can b... |
2204.09350 | Tiejun Lv | Zhongyu Wang, Tiejun Lv, Jie Zeng, and Wei Ni | Placement and Resource Allocation of Wireless-Powered Multiantenna UAV
for Energy-Efficient Multiuser NOMA | 15 pages, 11 figures, Accepted by IEEE Transactions on Wireless
Communications | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | This paper investigates a new downlink nonorthogonal multiple access (NOMA)
system, where a multiantenna unmanned aerial vehicle (UAV) is powered by
wireless power transfer (WPT) and serves as the base station for multiple pairs
of ground users (GUs) running NOMA in each pair. An energy efficiency (EE)
maximization p... | [
{
"created": "Wed, 20 Apr 2022 09:51:28 GMT",
"version": "v1"
}
] | 2022-04-21 | [
[
"Wang",
"Zhongyu",
""
],
[
"Lv",
"Tiejun",
""
],
[
"Zeng",
"Jie",
""
],
[
"Ni",
"Wei",
""
]
] | This paper investigates a new downlink nonorthogonal multiple access (NOMA) system, where a multiantenna unmanned aerial vehicle (UAV) is powered by wireless power transfer (WPT) and serves as the base station for multiple pairs of ground users (GUs) running NOMA in each pair. An energy efficiency (EE) maximization pro... |
1709.08436 | Zhijie Zhang | Xiaoming Sun, Jialin Zhang, Zhijie Zhang | A Linear Algorithm for Finding the Sink of Unique Sink Orientations on
Grids | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An orientation of a grid is called unique sink orientation (USO) if each of
its nonempty subgrids has a unique sink. Particularly, the original grid itself
has a unique global sink. In this work we investigate the problem of how to
find the global sink using minimum number of queries to an oracle. There are
two diffe... | [
{
"created": "Mon, 25 Sep 2017 11:49:16 GMT",
"version": "v1"
}
] | 2017-09-26 | [
[
"Sun",
"Xiaoming",
""
],
[
"Zhang",
"Jialin",
""
],
[
"Zhang",
"Zhijie",
""
]
] | An orientation of a grid is called unique sink orientation (USO) if each of its nonempty subgrids has a unique sink. Particularly, the original grid itself has a unique global sink. In this work we investigate the problem of how to find the global sink using minimum number of queries to an oracle. There are two differe... |
1810.01015 | Salimeh Yasaei Sekeh | Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero | Convergence Rates for Empirical Estimation of Binary Classification
Bounds | 27 pages, 8 figures | null | null | null | cs.IT cs.LG math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bounding the best achievable error probability for binary classification
problems is relevant to many applications including machine learning, signal
processing, and information theory. Many bounds on the Bayes binary
classification error rate depend on information divergences between the pair of
class distributions.... | [
{
"created": "Mon, 1 Oct 2018 23:53:54 GMT",
"version": "v1"
}
] | 2018-10-03 | [
[
"Sekeh",
"Salimeh Yasaei",
""
],
[
"Noshad",
"Morteza",
""
],
[
"Moon",
"Kevin R.",
""
],
[
"Hero",
"Alfred O.",
""
]
] | Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information theory. Many bounds on the Bayes binary classification error rate depend on information divergences between the pair of class distributions. R... |
2407.03821 | Bardh Prenkaj | Davide Gabrielli, Bardh Prenkaj, Paola Velardi | Seamless Monitoring of Stress Levels Leveraging a Universal Model for
Time Sequences | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Monitoring the stress level in patients with neurodegenerative diseases can
help manage symptoms, improve patient's quality of life, and provide insight
into disease progression. In the literature, ECG, actigraphy, speech, voice,
and facial analysis have proven effective at detecting patients' emotions. On
the other ... | [
{
"created": "Thu, 4 Jul 2024 10:46:09 GMT",
"version": "v1"
}
] | 2024-07-08 | [
[
"Gabrielli",
"Davide",
""
],
[
"Prenkaj",
"Bardh",
""
],
[
"Velardi",
"Paola",
""
]
] | Monitoring the stress level in patients with neurodegenerative diseases can help manage symptoms, improve patient's quality of life, and provide insight into disease progression. In the literature, ECG, actigraphy, speech, voice, and facial analysis have proven effective at detecting patients' emotions. On the other ha... |
2106.07758 | Sahil Verma | Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee | Pitfalls of Explainable ML: An Industry Perspective | Presented at JOURNE workshop at MLSYS 2021
(https://sites.google.com/view/workshop-journe/home) | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As machine learning (ML) systems take a more prominent and central role in
contributing to life-impacting decisions, ensuring their trustworthiness and
accountability is of utmost importance. Explanations sit at the core of these
desirable attributes of a ML system. The emerging field is frequently called
``Explainab... | [
{
"created": "Mon, 14 Jun 2021 21:05:05 GMT",
"version": "v1"
}
] | 2021-06-16 | [
[
"Verma",
"Sahil",
""
],
[
"Lahiri",
"Aditya",
""
],
[
"Dickerson",
"John P.",
""
],
[
"Lee",
"Su-In",
""
]
] | As machine learning (ML) systems take a more prominent and central role in contributing to life-impacting decisions, ensuring their trustworthiness and accountability is of utmost importance. Explanations sit at the core of these desirable attributes of a ML system. The emerging field is frequently called ``Explainable... |
2106.09051 | Paul Henderson | Paul Henderson, Christoph H. Lampert, Bernd Bickel | Unsupervised Video Prediction from a Single Frame by Estimating 3D
Dynamic Scene Structure | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Our goal in this work is to generate realistic videos given just one initial
frame as input. Existing unsupervised approaches to this task do not consider
the fact that a video typically shows a 3D environment, and that this should
remain coherent from frame to frame even as the camera and objects move. We
address th... | [
{
"created": "Wed, 16 Jun 2021 18:00:12 GMT",
"version": "v1"
}
] | 2021-06-18 | [
[
"Henderson",
"Paul",
""
],
[
"Lampert",
"Christoph H.",
""
],
[
"Bickel",
"Bernd",
""
]
] | Our goal in this work is to generate realistic videos given just one initial frame as input. Existing unsupervised approaches to this task do not consider the fact that a video typically shows a 3D environment, and that this should remain coherent from frame to frame even as the camera and objects move. We address this... |
2310.09952 | Arshia Soltani Moakhar | Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei,
Mohammad Taghi Manzuri, Mohammad Hossein Rohban | Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
Training in a Multi-Agent Network Framework | null | null | null | null | cs.NE cs.AI cs.GT cs.LG cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite considerable theoretical progress in the training of neural networks
viewed as a multi-agent system of neurons, particularly concerning biological
plausibility and decentralized training, their applicability to real-world
problems remains limited due to scalability issues. In contrast,
error-backpropagation h... | [
{
"created": "Sun, 15 Oct 2023 21:07:09 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Moakhar",
"Arshia Soltani",
""
],
[
"Azizmalayeri",
"Mohammad",
""
],
[
"Mirzaei",
"Hossein",
""
],
[
"Manzuri",
"Mohammad Taghi",
""
],
[
"Rohban",
"Mohammad Hossein",
""
]
] | Despite considerable theoretical progress in the training of neural networks viewed as a multi-agent system of neurons, particularly concerning biological plausibility and decentralized training, their applicability to real-world problems remains limited due to scalability issues. In contrast, error-backpropagation has... |
2301.00236 | Sandipan Sarma | Sandipan Sarma, Arijit Sur | DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot
Learning | 22 pages, 10 Figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Inspired by strategies like Active Learning, it is intuitive that
intelligently selecting the training classes from a dataset for Zero-Shot
Learning (ZSL) can improve the performance of existing ZSL methods. In this
work, we propose a framework called Diverse and Rare Class Identifier (DiRaC-I)
which, given an attrib... | [
{
"created": "Sat, 31 Dec 2022 16:05:09 GMT",
"version": "v1"
}
] | 2023-01-03 | [
[
"Sarma",
"Sandipan",
""
],
[
"Sur",
"Arijit",
""
]
] | Inspired by strategies like Active Learning, it is intuitive that intelligently selecting the training classes from a dataset for Zero-Shot Learning (ZSL) can improve the performance of existing ZSL methods. In this work, we propose a framework called Diverse and Rare Class Identifier (DiRaC-I) which, given an attribut... |
2006.15555 | Aviad Aberdam | Aviad Aberdam, Dror Simon, Michael Elad | When and How Can Deep Generative Models be Inverted? | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep generative models (e.g. GANs and VAEs) have been developed quite
extensively in recent years. Lately, there has been an increased interest in
the inversion of such a model, i.e. given a (possibly corrupted) signal, we
wish to recover the latent vector that generated it. Building upon sparse
representation theory... | [
{
"created": "Sun, 28 Jun 2020 09:37:52 GMT",
"version": "v1"
}
] | 2020-06-30 | [
[
"Aberdam",
"Aviad",
""
],
[
"Simon",
"Dror",
""
],
[
"Elad",
"Michael",
""
]
] | Deep generative models (e.g. GANs and VAEs) have been developed quite extensively in recent years. Lately, there has been an increased interest in the inversion of such a model, i.e. given a (possibly corrupted) signal, we wish to recover the latent vector that generated it. Building upon sparse representation theory, ... |
2308.02560 | Robin San Roman | Robin San Roman and Yossi Adi and Antoine Deleforge and Romain Serizel
and Gabriel Synnaeve and Alexandre D\'efossez | From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion | 10 pages | Thirty-seventh Conference on Neural Information Processing Systems
(2023) | null | null | cs.SD cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep generative models can generate high-fidelity audio conditioned on
various types of representations (e.g., mel-spectrograms, Mel-frequency
Cepstral Coefficients (MFCC)). Recently, such models have been used to
synthesize audio waveforms conditioned on highly compressed representations.
Although such methods produ... | [
{
"created": "Wed, 2 Aug 2023 22:14:29 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Nov 2023 10:04:00 GMT",
"version": "v2"
}
] | 2023-11-09 | [
[
"Roman",
"Robin San",
""
],
[
"Adi",
"Yossi",
""
],
[
"Deleforge",
"Antoine",
""
],
[
"Serizel",
"Romain",
""
],
[
"Synnaeve",
"Gabriel",
""
],
[
"Défossez",
"Alexandre",
""
]
] | Deep generative models can generate high-fidelity audio conditioned on various types of representations (e.g., mel-spectrograms, Mel-frequency Cepstral Coefficients (MFCC)). Recently, such models have been used to synthesize audio waveforms conditioned on highly compressed representations. Although such methods produce... |
2001.06641 | Nikita Polyanskii | Andreas Lenz and Nikita Polyanskii | Optimal Codes Correcting a Burst of Deletions of Variable Length | 6 pages | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present an efficiently encodable and decodable code
construction that is capable of correction a burst of deletions of length at
most $k$. The redundancy of this code is $\log n + k(k+1)/2\log \log n+c_k$ for
some constant $c_k$ that only depends on $k$ and thus is scaling-optimal. The
code can be s... | [
{
"created": "Sat, 18 Jan 2020 09:59:52 GMT",
"version": "v1"
}
] | 2020-01-22 | [
[
"Lenz",
"Andreas",
""
],
[
"Polyanskii",
"Nikita",
""
]
] | In this paper, we present an efficiently encodable and decodable code construction that is capable of correction a burst of deletions of length at most $k$. The redundancy of this code is $\log n + k(k+1)/2\log \log n+c_k$ for some constant $c_k$ that only depends on $k$ and thus is scaling-optimal. The code can be spl... |
2209.14401 | Kaiyu Wu | Rathish Das, Meng He, Eitan Kondratovsky, J. Ian Munro, Anurag Murty
Naredla, Kaiyu Wu | Shortest Beer Path Queries in Interval Graphs | To appear in ISAAC 2022 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Our interest is in paths between pairs of vertices that go through at least
one of a subset of the vertices known as beer vertices. Such a path is called a
beer path, and the beer distance between two vertices is the length of the
shortest beer path.
We show that we can represent unweighted interval graphs using $2... | [
{
"created": "Wed, 28 Sep 2022 19:56:28 GMT",
"version": "v1"
}
] | 2022-09-30 | [
[
"Das",
"Rathish",
""
],
[
"He",
"Meng",
""
],
[
"Kondratovsky",
"Eitan",
""
],
[
"Munro",
"J. Ian",
""
],
[
"Naredla",
"Anurag Murty",
""
],
[
"Wu",
"Kaiyu",
""
]
] | Our interest is in paths between pairs of vertices that go through at least one of a subset of the vertices known as beer vertices. Such a path is called a beer path, and the beer distance between two vertices is the length of the shortest beer path. We show that we can represent unweighted interval graphs using $2n \l... |
2204.07010 | Yue Ning | Jiaxuan Li and Yue Ning | Anti-Asian Hate Speech Detection via Data Augmented Semantic Relation
Inference | To appear in Proceedings of the 16th International AAAI Conference on
Web and Social Media (ICWSM) | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | With the spreading of hate speech on social media in recent years, automatic
detection of hate speech is becoming a crucial task and has attracted attention
from various communities. This task aims to recognize online posts (e.g.,
tweets) that contain hateful information. The peculiarities of languages in
social medi... | [
{
"created": "Thu, 14 Apr 2022 15:03:35 GMT",
"version": "v1"
}
] | 2022-04-15 | [
[
"Li",
"Jiaxuan",
""
],
[
"Ning",
"Yue",
""
]
] | With the spreading of hate speech on social media in recent years, automatic detection of hate speech is becoming a crucial task and has attracted attention from various communities. This task aims to recognize online posts (e.g., tweets) that contain hateful information. The peculiarities of languages in social media,... |
1110.1687 | Chi-Yao Hong | Ankit Singla, Chi-Yao Hong, Lucian Popa, P. Brighten Godfrey | Jellyfish: Networking Data Centers Randomly | 14 pages, 12 figures | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Industry experience indicates that the ability to incrementally expand data
centers is essential. However, existing high-bandwidth network designs have
rigid structure that interferes with incremental expansion. We present
Jellyfish, a high-capacity network interconnect, which, by adopting a random
graph topology, yi... | [
{
"created": "Sat, 8 Oct 2011 01:24:57 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Oct 2011 15:05:52 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Apr 2012 20:38:43 GMT",
"version": "v3"
}
] | 2012-04-24 | [
[
"Singla",
"Ankit",
""
],
[
"Hong",
"Chi-Yao",
""
],
[
"Popa",
"Lucian",
""
],
[
"Godfrey",
"P. Brighten",
""
]
] | Industry experience indicates that the ability to incrementally expand data centers is essential. However, existing high-bandwidth network designs have rigid structure that interferes with incremental expansion. We present Jellyfish, a high-capacity network interconnect, which, by adopting a random graph topology, yiel... |
1601.08059 | Nikos Bikakis | Nikos Bikakis, Timos Sellis | Exploration and Visualization in the Web of Big Linked Data: A Survey of
the State of the Art | 6th International Workshop on Linked Web Data Management (LWDM 2016) | null | null | null | cs.HC cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data exploration and visualization systems are of great importance in the Big
Data era. Exploring and visualizing very large datasets has become a major
research challenge, of which scalability is a vital requirement. In this
survey, we describe the major prerequisites and challenges that should be
addressed by the m... | [
{
"created": "Fri, 29 Jan 2016 11:30:44 GMT",
"version": "v1"
}
] | 2016-02-01 | [
[
"Bikakis",
"Nikos",
""
],
[
"Sellis",
"Timos",
""
]
] | Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we describe the major prerequisites and challenges that should be addressed by the mod... |
1911.12562 | Guozhu Meng | Yingzhe He and Guozhu Meng and Kai Chen and Xingbo Hu and Jinwen He | Towards Security Threats of Deep Learning Systems: A Survey | 28 pages, 6 figures | IEEE Transactions on Software Engineering 2020 | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has gained tremendous success and great popularity in the past
few years. However, deep learning systems are suffering several inherent
weaknesses, which can threaten the security of learning models. Deep learning's
wide use further magnifies the impact and consequences. To this end, lots of
research ha... | [
{
"created": "Thu, 28 Nov 2019 07:16:05 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Oct 2020 17:27:53 GMT",
"version": "v2"
}
] | 2020-10-28 | [
[
"He",
"Yingzhe",
""
],
[
"Meng",
"Guozhu",
""
],
[
"Chen",
"Kai",
""
],
[
"Hu",
"Xingbo",
""
],
[
"He",
"Jinwen",
""
]
] | Deep learning has gained tremendous success and great popularity in the past few years. However, deep learning systems are suffering several inherent weaknesses, which can threaten the security of learning models. Deep learning's wide use further magnifies the impact and consequences. To this end, lots of research has ... |
2007.13723 | Claudio Santos | Claudio Filipi Goncalves do Santos, Danilo Colombo, Mateus Roder,
Jo\~ao Paulo Papa | MaxDropout: Deep Neural Network Regularization Based on Maximum Output
Values | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Different techniques have emerged in the deep learning scenario, such as
Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory
Networks, to cite a few. In lockstep, regularization methods, which aim to
prevent overfitting by penalizing the weight connections, or turning off some
units, have ... | [
{
"created": "Mon, 27 Jul 2020 17:55:54 GMT",
"version": "v1"
}
] | 2020-07-28 | [
[
"Santos",
"Claudio Filipi Goncalves do",
""
],
[
"Colombo",
"Danilo",
""
],
[
"Roder",
"Mateus",
""
],
[
"Papa",
"João Paulo",
""
]
] | Different techniques have emerged in the deep learning scenario, such as Convolutional Neural Networks, Deep Belief Networks, and Long Short-Term Memory Networks, to cite a few. In lockstep, regularization methods, which aim to prevent overfitting by penalizing the weight connections, or turning off some units, have be... |
2002.01218 | Eduard Eiben | Eduard Eiben and Daniel Lokshtanov | Removing Connected Obstacles in the Plane is FPT | null | null | null | null | cs.DS cs.CG cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given two points in the plane, a set of obstacles defined by closed curves,
and an integer $k$, does there exist a path between the two designated points
intersecting at most $k$ of the obstacles? This is a fundamental and
well-studied problem arising naturally in computational geometry, graph theory,
wireless comput... | [
{
"created": "Tue, 4 Feb 2020 10:50:28 GMT",
"version": "v1"
}
] | 2020-02-05 | [
[
"Eiben",
"Eduard",
""
],
[
"Lokshtanov",
"Daniel",
""
]
] | Given two points in the plane, a set of obstacles defined by closed curves, and an integer $k$, does there exist a path between the two designated points intersecting at most $k$ of the obstacles? This is a fundamental and well-studied problem arising naturally in computational geometry, graph theory, wireless computin... |
2110.15701 | Chris Reinke | Chris Reinke, Xavier Alameda-Pineda | Successor Feature Representations | published in Transactions on Machine Learning Research (05/2023),
source code: https://gitlab.inria.fr/robotlearn/sfr_learning, [v2] added
experiments with learned features, [v3] renamed paper and changed scope, [v4]
published version | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transfer in Reinforcement Learning aims to improve learning performance on
target tasks using knowledge from experienced source tasks. Successor
Representations (SR) and their extension Successor Features (SF) are prominent
transfer mechanisms in domains where reward functions change between tasks.
They reevaluate th... | [
{
"created": "Fri, 29 Oct 2021 12:01:48 GMT",
"version": "v1"
},
{
"created": "Wed, 16 Feb 2022 13:13:18 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Dec 2022 10:11:53 GMT",
"version": "v3"
},
{
"created": "Wed, 2 Aug 2023 09:14:54 GMT",
"version": "v4"
}
] | 2023-08-03 | [
[
"Reinke",
"Chris",
""
],
[
"Alameda-Pineda",
"Xavier",
""
]
] | Transfer in Reinforcement Learning aims to improve learning performance on target tasks using knowledge from experienced source tasks. Successor Representations (SR) and their extension Successor Features (SF) are prominent transfer mechanisms in domains where reward functions change between tasks. They reevaluate the ... |
1904.02459 | Neeru Dubey | Neeru Dubey, Shreya Ghosh, Abhinav Dhall | Unsupervised Learning of Eye Gaze Representation from the Web | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic eye gaze estimation has interested researchers for a while now. In
this paper, we propose an unsupervised learning based method for estimating the
eye gaze region. To train the proposed network "Ize-Net" in self-supervised
manner, we collect a large `in the wild' dataset containing 1,54,251 images
from the ... | [
{
"created": "Thu, 4 Apr 2019 10:25:13 GMT",
"version": "v1"
}
] | 2019-04-05 | [
[
"Dubey",
"Neeru",
""
],
[
"Ghosh",
"Shreya",
""
],
[
"Dhall",
"Abhinav",
""
]
] | Automatic eye gaze estimation has interested researchers for a while now. In this paper, we propose an unsupervised learning based method for estimating the eye gaze region. To train the proposed network "Ize-Net" in self-supervised manner, we collect a large `in the wild' dataset containing 1,54,251 images from the we... |
2405.20495 | Amrit Singh Bedi | Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha,
Mengdi Wang, Amrit Singh Bedi, and Furong Huang | Transfer Q Star: Principled Decoding for LLM Alignment | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aligning foundation models is essential for their safe and trustworthy
deployment. However, traditional fine-tuning methods are computationally
intensive and require updating billions of model parameters. A promising
alternative, alignment via decoding, adjusts the response distribution directly
without model updates... | [
{
"created": "Thu, 30 May 2024 21:36:12 GMT",
"version": "v1"
}
] | 2024-06-03 | [
[
"Chakraborty",
"Souradip",
""
],
[
"Ghosal",
"Soumya Suvra",
""
],
[
"Yin",
"Ming",
""
],
[
"Manocha",
"Dinesh",
""
],
[
"Wang",
"Mengdi",
""
],
[
"Bedi",
"Amrit Singh",
""
],
[
"Huang",
"Furong",
""
]
] | Aligning foundation models is essential for their safe and trustworthy deployment. However, traditional fine-tuning methods are computationally intensive and require updating billions of model parameters. A promising alternative, alignment via decoding, adjusts the response distribution directly without model updates t... |
2310.13073 | Parth Padalkar | Parth Padalkar, Gopal Gupta | Using Logic Programming and Kernel-Grouping for Improving
Interpretability of Convolutional Neural Networks | arXiv admin note: text overlap with arXiv:2301.12667 | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Within the realm of deep learning, the interpretability of Convolutional
Neural Networks (CNNs), particularly in the context of image classification
tasks, remains a formidable challenge. To this end we present a neurosymbolic
framework, NeSyFOLD-G that generates a symbolic rule-set using the last layer
kernels of th... | [
{
"created": "Thu, 19 Oct 2023 18:12:49 GMT",
"version": "v1"
}
] | 2023-10-23 | [
[
"Padalkar",
"Parth",
""
],
[
"Gupta",
"Gopal",
""
]
] | Within the realm of deep learning, the interpretability of Convolutional Neural Networks (CNNs), particularly in the context of image classification tasks, remains a formidable challenge. To this end we present a neurosymbolic framework, NeSyFOLD-G that generates a symbolic rule-set using the last layer kernels of the ... |
1811.08531 | Kamer Vishi | Nils Gruschka, Vasileios Mavroeidis, Kamer Vishi, Meiko Jensen | Privacy Issues and Data Protection in Big Data: A Case Study Analysis
under GDPR | 7 pages, 1 figure, GDPR, Privacy, Cyber Threat Intelligence,
Biometrics. To be appeared in the Proceedings of the 2018 IEEE International
Conference on Big Data | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Big data has become a great asset for many organizations, promising improved
operations and new business opportunities. However, big data has increased
access to sensitive information that when processed can directly jeopardize the
privacy of individuals and violate data protection laws. As a consequence, data
contro... | [
{
"created": "Tue, 20 Nov 2018 23:42:12 GMT",
"version": "v1"
}
] | 2018-11-22 | [
[
"Gruschka",
"Nils",
""
],
[
"Mavroeidis",
"Vasileios",
""
],
[
"Vishi",
"Kamer",
""
],
[
"Jensen",
"Meiko",
""
]
] | Big data has become a great asset for many organizations, promising improved operations and new business opportunities. However, big data has increased access to sensitive information that when processed can directly jeopardize the privacy of individuals and violate data protection laws. As a consequence, data controll... |
2105.09217 | Gautam K. Das | Pawan K. Mishra and Gautam K. Das | Approximation Algorithms For The Euclidean Dispersion Problems | 17 | null | null | null | cs.CG cs.DS | http://creativecommons.org/licenses/by/4.0/ | In this article, we consider the Euclidean dispersion problems. Let
$P=\{p_{1}, p_{2}, \ldots, p_{n}\}$ be a set of $n$ points in $\mathbb{R}^2$.
For each point $p \in P$ and $S \subseteq P$, we define $cost_{\gamma}(p,S)$ as
the sum of Euclidean distance from $p$ to the nearest $\gamma $ point in $S
\setminus \{p\}$... | [
{
"created": "Wed, 19 May 2021 15:56:30 GMT",
"version": "v1"
}
] | 2021-05-20 | [
[
"Mishra",
"Pawan K.",
""
],
[
"Das",
"Gautam K.",
""
]
] | In this article, we consider the Euclidean dispersion problems. Let $P=\{p_{1}, p_{2}, \ldots, p_{n}\}$ be a set of $n$ points in $\mathbb{R}^2$. For each point $p \in P$ and $S \subseteq P$, we define $cost_{\gamma}(p,S)$ as the sum of Euclidean distance from $p$ to the nearest $\gamma $ point in $S \setminus \{p\}$. ... |
2211.05555 | Joon-Ha Kim | Joon-Ha Kim | Real time A* Adaptive Action Set Footstep Planning with Human Locomotion
Energy Approximations Considering Angle Difference for Heuristic Function | Master's Degree Thesis | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The problem of navigating a bipedal robot to a desired destination in various
environments is very important. However, it is very difficult to solve the
navigation problem in real time because the computation time is very long due
to the nature of the biped robot having a high degree of freedom. In order to
overcome ... | [
{
"created": "Wed, 2 Nov 2022 02:28:16 GMT",
"version": "v1"
}
] | 2022-11-11 | [
[
"Kim",
"Joon-Ha",
""
]
] | The problem of navigating a bipedal robot to a desired destination in various environments is very important. However, it is very difficult to solve the navigation problem in real time because the computation time is very long due to the nature of the biped robot having a high degree of freedom. In order to overcome th... |
1304.5213 | Hany SalahEldeen | Hany M. SalahEldeen and Michael L. Nelson | Carbon Dating The Web: Estimating the Age of Web Resources | This work is published at TempWeb03 workshop at WWW 2013 conference
in Rio de Janeiro, Brazil | null | null | null | cs.IR cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the course of web research it is often necessary to estimate the creation
datetime for web resources (in the general case, this value can only be
estimated). While it is feasible to manually establish likely datetime values
for small numbers of resources, this becomes infeasible if the collection is
large. We pres... | [
{
"created": "Thu, 18 Apr 2013 18:42:45 GMT",
"version": "v1"
}
] | 2013-04-19 | [
[
"SalahEldeen",
"Hany M.",
""
],
[
"Nelson",
"Michael L.",
""
]
] | In the course of web research it is often necessary to estimate the creation datetime for web resources (in the general case, this value can only be estimated). While it is feasible to manually establish likely datetime values for small numbers of resources, this becomes infeasible if the collection is large. We presen... |
2110.11187 | Matteo De Carlo | Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben
Meynen and A. E. Eiben | Heritability in Morphological Robot Evolution | null | null | null | null | cs.NE cs.RO | http://creativecommons.org/licenses/by/4.0/ | In the field of evolutionary robotics, choosing the correct encoding is very
complicated, especially when robots evolve both behaviours and morphologies at
the same time. With the objective of improving our understanding of the mapping
process from encodings to functional robots, we introduce the biological notion
of... | [
{
"created": "Thu, 21 Oct 2021 14:58:17 GMT",
"version": "v1"
}
] | 2021-10-22 | [
[
"De Carlo",
"Matteo",
""
],
[
"Ferrante",
"Eliseo",
""
],
[
"Zeeuwe",
"Daan",
""
],
[
"Ellers",
"Jacintha",
""
],
[
"Meynen",
"Gerben",
""
],
[
"Eiben",
"A. E.",
""
]
] | In the field of evolutionary robotics, choosing the correct encoding is very complicated, especially when robots evolve both behaviours and morphologies at the same time. With the objective of improving our understanding of the mapping process from encodings to functional robots, we introduce the biological notion of h... |
1806.01106 | Alejandro Linares-Barranco A. Linares-Barranco | A. Rios-Navarro, R. Tapiador-Morales, A. Jimenez-Fernandez, M.
Dominguez-Morales, C. Amaya and A. Linares-Barranco | Performance evaluation over HW/SW co-design SoC memory transfers for a
CNN accelerator | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many FPGAs vendors have recently included embedded processors in their
devices, like Xilinx with ARM-Cortex A cores, together with programmable logic
cells. These devices are known as Programmable System on Chip (PSoC). Their ARM
cores (embedded in the processing system or PS) communicates with the
programmable logic... | [
{
"created": "Wed, 9 May 2018 08:54:15 GMT",
"version": "v1"
}
] | 2018-06-05 | [
[
"Rios-Navarro",
"A.",
""
],
[
"Tapiador-Morales",
"R.",
""
],
[
"Jimenez-Fernandez",
"A.",
""
],
[
"Dominguez-Morales",
"M.",
""
],
[
"Amaya",
"C.",
""
],
[
"Linares-Barranco",
"A.",
""
]
] | Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, together with programmable logic cells. These devices are known as Programmable System on Chip (PSoC). Their ARM cores (embedded in the processing system or PS) communicates with the programmable logic c... |
2312.13596 | Zhixiang Su | Zhixiang Su, Di Wang, Chunyan Miao and Lizhen Cui | Anchoring Path for Inductive Relation Prediction in Knowledge Graphs | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aiming to accurately predict missing edges representing relations between
entities, which are pervasive in real-world Knowledge Graphs (KGs), relation
prediction plays a critical role in enhancing the comprehensiveness and utility
of KGs. Recent research focuses on path-based methods due to their inductive
and explai... | [
{
"created": "Thu, 21 Dec 2023 06:02:25 GMT",
"version": "v1"
}
] | 2023-12-22 | [
[
"Su",
"Zhixiang",
""
],
[
"Wang",
"Di",
""
],
[
"Miao",
"Chunyan",
""
],
[
"Cui",
"Lizhen",
""
]
] | Aiming to accurately predict missing edges representing relations between entities, which are pervasive in real-world Knowledge Graphs (KGs), relation prediction plays a critical role in enhancing the comprehensiveness and utility of KGs. Recent research focuses on path-based methods due to their inductive and explaina... |
2305.10411 | Leonel Rozo | Hanna Ziesche and Leonel Rozo | Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies | null | null | null | null | cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robots often rely on a repertoire of previously-learned motion policies for
performing tasks of diverse complexities. When facing unseen task conditions or
when new task requirements arise, robots must adapt their motion policies
accordingly. In this context, policy optimization is the \emph{de facto}
paradigm to ada... | [
{
"created": "Wed, 17 May 2023 17:48:24 GMT",
"version": "v1"
}
] | 2023-05-18 | [
[
"Ziesche",
"Hanna",
""
],
[
"Rozo",
"Leonel",
""
]
] | Robots often rely on a repertoire of previously-learned motion policies for performing tasks of diverse complexities. When facing unseen task conditions or when new task requirements arise, robots must adapt their motion policies accordingly. In this context, policy optimization is the \emph{de facto} paradigm to adapt... |
1801.09390 | Yanning Shen | Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis | Nonlinear Dimensionality Reduction on Graphs | Dimensionality reduction, nonlinear modeling, signal processing over
graphs | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this era of data deluge, many signal processing and machine learning tasks
are faced with high-dimensional datasets, including images, videos, as well as
time series generated from social, commercial and brain network interactions.
Their efficient processing calls for dimensionality reduction techniques
capable of... | [
{
"created": "Mon, 29 Jan 2018 08:11:04 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Mar 2018 06:56:17 GMT",
"version": "v2"
}
] | 2018-03-30 | [
[
"Shen",
"Yanning",
""
],
[
"Traganitis",
"Panagiotis A.",
""
],
[
"Giannakis",
"Georgios B.",
""
]
] | In this era of data deluge, many signal processing and machine learning tasks are faced with high-dimensional datasets, including images, videos, as well as time series generated from social, commercial and brain network interactions. Their efficient processing calls for dimensionality reduction techniques capable of p... |
1609.02965 | Ali Fatih Demir | A. Fatih Demir, Qammer H. Abbasi, Z. Esad Ankarali, Erchin Serpedin,
Huseyin Arslan | Numerical Characterization of In Vivo Wireless Communication Channels | 2014 IEEE MTT-S International Microwave Workshop Series on RF and
Wireless Technologies for Biomedical and Healthcare Applications (IMWS-Bio) | 2014 IEEE MTT-S International Microwave Workshop Series
(IMWS-Bio), London, 2014, pp. 1-3 | 10.1109/IMWS-BIO.2014.7032392 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we numerically investigated the in vivo wireless communication
channel for the human male torso at 915 MHz. The results show that in vivo
channel is different from the classical communication channel, and location
dependency is very critical for link budget calculations. A statistical path
loss model b... | [
{
"created": "Fri, 9 Sep 2016 22:53:23 GMT",
"version": "v1"
}
] | 2016-09-13 | [
[
"Demir",
"A. Fatih",
""
],
[
"Abbasi",
"Qammer H.",
""
],
[
"Ankarali",
"Z. Esad",
""
],
[
"Serpedin",
"Erchin",
""
],
[
"Arslan",
"Huseyin",
""
]
] | In this paper, we numerically investigated the in vivo wireless communication channel for the human male torso at 915 MHz. The results show that in vivo channel is different from the classical communication channel, and location dependency is very critical for link budget calculations. A statistical path loss model bas... |
2205.06811 | Quanquan Gu | Jiafan He and Dongruo Zhou and Tong Zhang and Quanquan Gu | Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial
Corruptions | 25 pages, 1 table. This version simplifies the proof of the regret
upper bound in Version 1, and provides a stronger result for the lower bound | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the linear contextual bandit problem in the presence of adversarial
corruption, where the reward at each round is corrupted by an adversary, and
the corruption level (i.e., the sum of corruption magnitudes over the horizon)
is $C\geq 0$. The best-known algorithms in this setting are limited in that
they eith... | [
{
"created": "Fri, 13 May 2022 17:58:58 GMT",
"version": "v1"
},
{
"created": "Sun, 10 Jul 2022 02:02:58 GMT",
"version": "v2"
}
] | 2022-07-12 | [
[
"He",
"Jiafan",
""
],
[
"Zhou",
"Dongruo",
""
],
[
"Zhang",
"Tong",
""
],
[
"Gu",
"Quanquan",
""
]
] | We study the linear contextual bandit problem in the presence of adversarial corruption, where the reward at each round is corrupted by an adversary, and the corruption level (i.e., the sum of corruption magnitudes over the horizon) is $C\geq 0$. The best-known algorithms in this setting are limited in that they either... |
2312.06581 | Stella Biderman | Dashiell Stander and Qinan Yu and Honglu Fan and Stella Biderman | Grokking Group Multiplication with Cosets | null | null | null | null | cs.LG cs.AI math.RT | http://creativecommons.org/licenses/by/4.0/ | The complex and unpredictable nature of deep neural networks prevents their
safe use in many high-stakes applications. There have been many techniques
developed to interpret deep neural networks, but all have substantial
limitations. Algorithmic tasks have proven to be a fruitful test ground for
interpreting a neural... | [
{
"created": "Mon, 11 Dec 2023 18:12:18 GMT",
"version": "v1"
},
{
"created": "Mon, 17 Jun 2024 17:44:44 GMT",
"version": "v2"
}
] | 2024-06-18 | [
[
"Stander",
"Dashiell",
""
],
[
"Yu",
"Qinan",
""
],
[
"Fan",
"Honglu",
""
],
[
"Biderman",
"Stella",
""
]
] | The complex and unpredictable nature of deep neural networks prevents their safe use in many high-stakes applications. There have been many techniques developed to interpret deep neural networks, but all have substantial limitations. Algorithmic tasks have proven to be a fruitful test ground for interpreting a neural n... |
1601.03783 | Duygu Altinok | Duygu Altinok | Towards Turkish ASR: Anatomy of a rule-based Turkish g2p | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper describes the architecture and implementation of a rule-based
grapheme to phoneme converter for Turkish. The system accepts surface form as
input, outputs SAMPA mapping of the all parallel pronounciations according to
the morphological analysis together with stress positions. The system has been
implemente... | [
{
"created": "Fri, 15 Jan 2016 00:09:52 GMT",
"version": "v1"
}
] | 2016-01-18 | [
[
"Altinok",
"Duygu",
""
]
] | This paper describes the architecture and implementation of a rule-based grapheme to phoneme converter for Turkish. The system accepts surface form as input, outputs SAMPA mapping of the all parallel pronounciations according to the morphological analysis together with stress positions. The system has been implemented ... |
1910.05728 | Badri Narayana Patro | Badri N. Patro, Shivansh Patel and Vinay P. Namboodiri | Granular Multimodal Attention Networks for Visual Dialog | ICCV Workshop | null | null | null | cs.CV cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Vision and language tasks have benefited from attention. There have been a
number of different attention models proposed. However, the scale at which
attention needs to be applied has not been well examined. Particularly, in this
work, we propose a new method Granular Multi-modal Attention, where we aim to
particular... | [
{
"created": "Sun, 13 Oct 2019 10:49:41 GMT",
"version": "v1"
}
] | 2019-10-15 | [
[
"Patro",
"Badri N.",
""
],
[
"Patel",
"Shivansh",
""
],
[
"Namboodiri",
"Vinay P.",
""
]
] | Vision and language tasks have benefited from attention. There have been a number of different attention models proposed. However, the scale at which attention needs to be applied has not been well examined. Particularly, in this work, we propose a new method Granular Multi-modal Attention, where we aim to particularly... |
1104.4646 | Nissim Halabi | Nissim Halabi and Guy Even | Local Optimality Certificates for LP Decoding of Tanner Codes | null | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new combinatorial characterization for local optimality of a
codeword in an irregular Tanner code. The main novelty in this characterization
is that it is based on a linear combination of subtrees in the computation
trees. These subtrees may have any degree in the local code nodes and may have
any height... | [
{
"created": "Sun, 24 Apr 2011 19:27:55 GMT",
"version": "v1"
}
] | 2011-04-26 | [
[
"Halabi",
"Nissim",
""
],
[
"Even",
"Guy",
""
]
] | We present a new combinatorial characterization for local optimality of a codeword in an irregular Tanner code. The main novelty in this characterization is that it is based on a linear combination of subtrees in the computation trees. These subtrees may have any degree in the local code nodes and may have any height (... |
1804.10188 | Sahil Garg | Sahil Garg, Irina Rish, Guillermo Cecchi, Palash Goyal, Sarik
Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan | Modeling Psychotherapy Dialogues with Kernelized Hashcode
Representations: A Nonparametric Information-Theoretic Approach | Response generative based model added, along with human evaluation | null | null | null | cs.LG cs.AI cs.CL cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel dialogue modeling framework, the first-ever nonparametric
kernel functions based approach for dialogue modeling, which learns kernelized
hashcodes as compressed text representations; unlike traditional deep learning
models, it handles well relatively small datasets, while also scaling to large
ones... | [
{
"created": "Thu, 26 Apr 2018 17:39:28 GMT",
"version": "v1"
},
{
"created": "Fri, 18 May 2018 00:32:09 GMT",
"version": "v2"
},
{
"created": "Wed, 30 May 2018 03:58:19 GMT",
"version": "v3"
},
{
"created": "Fri, 6 Jul 2018 14:54:22 GMT",
"version": "v4"
},
{
"cr... | 2019-09-11 | [
[
"Garg",
"Sahil",
""
],
[
"Rish",
"Irina",
""
],
[
"Cecchi",
"Guillermo",
""
],
[
"Goyal",
"Palash",
""
],
[
"Ghazarian",
"Sarik",
""
],
[
"Gao",
"Shuyang",
""
],
[
"Steeg",
"Greg Ver",
""
],
[
"Gals... | We propose a novel dialogue modeling framework, the first-ever nonparametric kernel functions based approach for dialogue modeling, which learns kernelized hashcodes as compressed text representations; unlike traditional deep learning models, it handles well relatively small datasets, while also scaling to large ones. ... |
2405.14847 | Sai Bi | Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev,
Kalyan Sunkavalli, Ravi Ramamoorthi | Neural Directional Encoding for Efficient and Accurate View-Dependent
Appearance Modeling | Accepted to CVPR 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Novel-view synthesis of specular objects like shiny metals or glossy paints
remains a significant challenge. Not only the glossy appearance but also global
illumination effects, including reflections of other objects in the
environment, are critical components to faithfully reproduce a scene. In this
paper, we presen... | [
{
"created": "Thu, 23 May 2024 17:56:34 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Wu",
"Liwen",
""
],
[
"Bi",
"Sai",
""
],
[
"Xu",
"Zexiang",
""
],
[
"Luan",
"Fujun",
""
],
[
"Zhang",
"Kai",
""
],
[
"Georgiev",
"Iliyan",
""
],
[
"Sunkavalli",
"Kalyan",
""
],
[
"Ramamoorthi",
... | Novel-view synthesis of specular objects like shiny metals or glossy paints remains a significant challenge. Not only the glossy appearance but also global illumination effects, including reflections of other objects in the environment, are critical components to faithfully reproduce a scene. In this paper, we present ... |
1909.09248 | Wei-Hung Weng | Wei-Hung Weng, Peter Szolovits | Representation Learning for Electronic Health Records | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Information in electronic health records (EHR), such as clinical narratives,
examination reports, lab measurements, demographics, and other patient
encounter entries, can be transformed into appropriate data representations
that can be used for downstream clinical machine learning tasks using
representation learning.... | [
{
"created": "Thu, 19 Sep 2019 22:12:30 GMT",
"version": "v1"
}
] | 2019-09-23 | [
[
"Weng",
"Wei-Hung",
""
],
[
"Szolovits",
"Peter",
""
]
] | Information in electronic health records (EHR), such as clinical narratives, examination reports, lab measurements, demographics, and other patient encounter entries, can be transformed into appropriate data representations that can be used for downstream clinical machine learning tasks using representation learning. L... |
1409.5583 | Mohamed Khalil | Mohamed Amir, Tamer Khattab, Tarek Elfouly, Amr Mohamed | Secure Degrees of Freedom of the Gaussian MIMO Wiretap and MIMO
Broadcast Channels with Unknown Eavesdroppers | arXiv admin note: text overlap with arXiv:1404.5007 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the secure degrees of freedom (SDoF) of the wiretap and the K
user Gaussian broadcast channels with multiple antennas at the transmitter, the
legitimate receivers and an unknown number of eavesdroppers each with a number
of antennas less than or equal to a known value NE. The channel matrices
between t... | [
{
"created": "Fri, 19 Sep 2014 10:29:58 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Sep 2014 11:28:51 GMT",
"version": "v2"
},
{
"created": "Thu, 26 Feb 2015 15:10:00 GMT",
"version": "v3"
},
{
"created": "Wed, 30 Mar 2016 20:38:15 GMT",
"version": "v4"
}
] | 2016-04-01 | [
[
"Amir",
"Mohamed",
""
],
[
"Khattab",
"Tamer",
""
],
[
"Elfouly",
"Tarek",
""
],
[
"Mohamed",
"Amr",
""
]
] | We investigate the secure degrees of freedom (SDoF) of the wiretap and the K user Gaussian broadcast channels with multiple antennas at the transmitter, the legitimate receivers and an unknown number of eavesdroppers each with a number of antennas less than or equal to a known value NE. The channel matrices between the... |
2211.11870 | Fengyi Shen | Fengyi Shen, Zador Pataki, Akhil Gurram, Ziyuan Liu, He Wang, Alois
Knoll | LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation | Accepted to WACV2023 | 2023 IEEE/CVF Winter Conference on Applications of Computer Vision
(WACV) | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | Due to the lack of training labels and the difficulty of annotating, dealing
with adverse driving conditions such as nighttime has posed a huge challenge to
the perception system of autonomous vehicles. Therefore, adapting knowledge
from a labelled daytime domain to an unlabelled nighttime domain has been
widely rese... | [
{
"created": "Mon, 21 Nov 2022 21:46:05 GMT",
"version": "v1"
}
] | 2022-11-23 | [
[
"Shen",
"Fengyi",
""
],
[
"Pataki",
"Zador",
""
],
[
"Gurram",
"Akhil",
""
],
[
"Liu",
"Ziyuan",
""
],
[
"Wang",
"He",
""
],
[
"Knoll",
"Alois",
""
]
] | Due to the lack of training labels and the difficulty of annotating, dealing with adverse driving conditions such as nighttime has posed a huge challenge to the perception system of autonomous vehicles. Therefore, adapting knowledge from a labelled daytime domain to an unlabelled nighttime domain has been widely resear... |
1604.07319 | Mehrdad Gangeh | Mehrdad J. Gangeh, Safaa M.A. Bedawi, Ali Ghodsi, Fakhri Karray | Semi-supervised Dictionary Learning Based on Hilbert-Schmidt
Independence Criterion | Accepted at International conference on Image analysis and
Recognition (ICIAR) 2016 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a novel semi-supervised dictionary learning and sparse
representation (SS-DLSR) is proposed. The proposed method benefits from the
supervisory information by learning the dictionary in a space where the
dependency between the data and class labels is maximized. This maximization is
performed using Hilb... | [
{
"created": "Mon, 25 Apr 2016 16:25:38 GMT",
"version": "v1"
}
] | 2016-04-26 | [
[
"Gangeh",
"Mehrdad J.",
""
],
[
"Bedawi",
"Safaa M. A.",
""
],
[
"Ghodsi",
"Ali",
""
],
[
"Karray",
"Fakhri",
""
]
] | In this paper, a novel semi-supervised dictionary learning and sparse representation (SS-DLSR) is proposed. The proposed method benefits from the supervisory information by learning the dictionary in a space where the dependency between the data and class labels is maximized. This maximization is performed using Hilber... |
2311.03382 | Hangtong Xu | Hangtong Xu and Yuanbo Xu and Yongjian Yang | Causal Structure Representation Learning of Confounders in Latent Space
for Recommendation | null | null | null | null | cs.IR cs.AI cs.LG stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inferring user preferences from the historical feedback of users is a
valuable problem in recommender systems. Conventional approaches often rely on
the assumption that user preferences in the feedback data are equivalent to the
real user preferences without additional noise, which simplifies the problem
modeling. Ho... | [
{
"created": "Thu, 2 Nov 2023 08:46:07 GMT",
"version": "v1"
}
] | 2023-11-08 | [
[
"Xu",
"Hangtong",
""
],
[
"Xu",
"Yuanbo",
""
],
[
"Yang",
"Yongjian",
""
]
] | Inferring user preferences from the historical feedback of users is a valuable problem in recommender systems. Conventional approaches often rely on the assumption that user preferences in the feedback data are equivalent to the real user preferences without additional noise, which simplifies the problem modeling. Howe... |
2403.03707 | Yajie Liu | Yajie Liu, Pu Ge, Qingjie Liu, Di Huang | Multi-Grained Cross-modal Alignment for Learning Open-vocabulary
Semantic Segmentation from Text Supervision | 17 pages, 8 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recently, learning open-vocabulary semantic segmentation from text
supervision has achieved promising downstream performance. Nevertheless,
current approaches encounter an alignment granularity gap owing to the absence
of dense annotations, wherein they learn coarse image/region-text alignment
during training yet per... | [
{
"created": "Wed, 6 Mar 2024 13:43:36 GMT",
"version": "v1"
}
] | 2024-03-07 | [
[
"Liu",
"Yajie",
""
],
[
"Ge",
"Pu",
""
],
[
"Liu",
"Qingjie",
""
],
[
"Huang",
"Di",
""
]
] | Recently, learning open-vocabulary semantic segmentation from text supervision has achieved promising downstream performance. Nevertheless, current approaches encounter an alignment granularity gap owing to the absence of dense annotations, wherein they learn coarse image/region-text alignment during training yet perfo... |
2104.08899 | Decky Aspandi | Decky Aspandi-Latif, Sally Goldin, Preesan Rakwatin, Kurt Rudahl | Texture Based Classification of High Resolution Remotely Sensed Imagery
using Weber Local Descriptor | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Traditional image classification techniques often produce unsatisfactory
results when applied to high spatial resolution data because classes in high
resolution images are not spectrally homogeneous. Texture offers an alternative
source of information for classifying these images. This paper evaluates a
recently deve... | [
{
"created": "Sun, 18 Apr 2021 16:37:34 GMT",
"version": "v1"
}
] | 2021-04-20 | [
[
"Aspandi-Latif",
"Decky",
""
],
[
"Goldin",
"Sally",
""
],
[
"Rakwatin",
"Preesan",
""
],
[
"Rudahl",
"Kurt",
""
]
] | Traditional image classification techniques often produce unsatisfactory results when applied to high spatial resolution data because classes in high resolution images are not spectrally homogeneous. Texture offers an alternative source of information for classifying these images. This paper evaluates a recently develo... |
2211.00519 | Yanran Guan | Yanran Guan, Andrei Chubarau, Ruby Rao, Derek Nowrouzezahrai | Learning Neural Implicit Representations with Surface Signal
Parameterizations | null | null | null | null | cs.GR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural implicit surface representations have recently emerged as popular
alternative to explicit 3D object encodings, such as polygonal meshes,
tabulated points, or voxels. While significant work has improved the geometric
fidelity of these representations, much less attention is given to their final
appearance. Trad... | [
{
"created": "Tue, 1 Nov 2022 15:10:58 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Jun 2023 00:32:56 GMT",
"version": "v2"
}
] | 2023-06-27 | [
[
"Guan",
"Yanran",
""
],
[
"Chubarau",
"Andrei",
""
],
[
"Rao",
"Ruby",
""
],
[
"Nowrouzezahrai",
"Derek",
""
]
] | Neural implicit surface representations have recently emerged as popular alternative to explicit 3D object encodings, such as polygonal meshes, tabulated points, or voxels. While significant work has improved the geometric fidelity of these representations, much less attention is given to their final appearance. Tradit... |
1411.3716 | Mahmood Mohassel Feghhi | Mahmood Mohassel Feghhi, Mahtab Mirmohseni, Aliazam Abbasfar | Power Allocation in the Energy Harvesting Full-Duplex Gaussian Relay
Channels | Accepted for publication in International Journal of Communication
Systems (Special Issue on Energy Efficient Wireless Communication Networks
with QoS), October 2014 | International Journal of Communication Systems, Vol. 30, No. 2,
Jan 2017 | 10.1002/dac.2903 | null | cs.NI cs.ET cs.IT math.IT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a general model to study the full-duplex
non-coherent decode-and-forward Gaussian relay channel with energy harvesting
(EH) nodes, called NC-EH-$\mathcal{RC}$, in three cases: $i)$ no energy
transfer (ET), $ii)$ one-way ET from the source (S) to the relay (R), and
$iii)$ two-way ET. We consi... | [
{
"created": "Fri, 14 Nov 2014 08:17:31 GMT",
"version": "v1"
}
] | 2021-04-07 | [
[
"Feghhi",
"Mahmood Mohassel",
""
],
[
"Mirmohseni",
"Mahtab",
""
],
[
"Abbasfar",
"Aliazam",
""
]
] | In this paper, we propose a general model to study the full-duplex non-coherent decode-and-forward Gaussian relay channel with energy harvesting (EH) nodes, called NC-EH-$\mathcal{RC}$, in three cases: $i)$ no energy transfer (ET), $ii)$ one-way ET from the source (S) to the relay (R), and $iii)$ two-way ET. We conside... |
2008.01558 | Yanmin Gong | Rui Hu and Yanmin Gong and Yuanxiong Guo | Federated Learning with Sparsification-Amplified Privacy and Adaptive
Optimization | Accepted in IJCAI 2021, this is the full version with appendix | null | null | null | cs.LG cs.CR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) enables distributed agents to collaboratively learn a
centralized model without sharing their raw data with each other. However, data
locality does not provide sufficient privacy protection, and it is desirable to
facilitate FL with rigorous differential privacy (DP) guarantee. Existing DP
mec... | [
{
"created": "Sat, 1 Aug 2020 20:22:57 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Jun 2021 20:18:08 GMT",
"version": "v2"
}
] | 2021-06-15 | [
[
"Hu",
"Rui",
""
],
[
"Gong",
"Yanmin",
""
],
[
"Guo",
"Yuanxiong",
""
]
] | Federated learning (FL) enables distributed agents to collaboratively learn a centralized model without sharing their raw data with each other. However, data locality does not provide sufficient privacy protection, and it is desirable to facilitate FL with rigorous differential privacy (DP) guarantee. Existing DP mecha... |
1209.1960 | M. Emre Celebi | M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela | A Comparative Study of Efficient Initialization Methods for the K-Means
Clustering Algorithm | 17 pages, 1 figure, 7 tables | Expert Systems with Applications 40 (2013) 200-210 | 10.1016/j.eswa.2012.07.021 | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | K-means is undoubtedly the most widely used partitional clustering algorithm.
Unfortunately, due to its gradient descent nature, this algorithm is highly
sensitive to the initial placement of the cluster centers. Numerous
initialization methods have been proposed to address this problem. In this
paper, we first prese... | [
{
"created": "Mon, 10 Sep 2012 12:22:06 GMT",
"version": "v1"
}
] | 2012-09-11 | [
[
"Celebi",
"M. Emre",
""
],
[
"Kingravi",
"Hassan A.",
""
],
[
"Vela",
"Patricio A.",
""
]
] | K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial placement of the cluster centers. Numerous initialization methods have been proposed to address this problem. In this paper, we first present... |
2203.16648 | Abigail Lee | Abigail J. Lee, Grace E. Chesmore, Kyle A. Rocha, Amanda Farah, Maryum
Sayeed, Justin Myles | Predicting Winners of the Reality TV Dating Show $\textit{The Bachelor}$
Using Machine Learning Algorithms | 6 Pages, 5 Figures. Submitted to Acta Prima Aprila. Code used in this
work available at http://github.com/chesmore/bach-stats/ | null | null | null | cs.LG astro-ph.IM physics.pop-ph | http://creativecommons.org/licenses/by/4.0/ | $\textit{The Bachelor}$ is a reality TV dating show in which a single
bachelor selects his wife from a pool of approximately 30 female contestants
over eight weeks of filming (American Broadcasting Company 2002). We collected
the following data on all 422 contestants that participated in seasons 11
through 25: their ... | [
{
"created": "Wed, 30 Mar 2022 20:00:31 GMT",
"version": "v1"
}
] | 2022-04-01 | [
[
"Lee",
"Abigail J.",
""
],
[
"Chesmore",
"Grace E.",
""
],
[
"Rocha",
"Kyle A.",
""
],
[
"Farah",
"Amanda",
""
],
[
"Sayeed",
"Maryum",
""
],
[
"Myles",
"Justin",
""
]
] | $\textit{The Bachelor}$ is a reality TV dating show in which a single bachelor selects his wife from a pool of approximately 30 female contestants over eight weeks of filming (American Broadcasting Company 2002). We collected the following data on all 422 contestants that participated in seasons 11 through 25: their Ag... |
1801.03595 | Junting Chen | Junting Chen and David Gesbert | Efficient Local Map Search Algorithms for the Placement of Flying Relays | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the optimal unmanned aerial vehicle (UAV) placement
problem for wireless networking. The UAV operates as a flying wireless relay to
provide coverage extension for a base station (BS) and deliver capacity boost
to a user shadowed by obstacles. While existing methods rely on statistical
models for po... | [
{
"created": "Thu, 11 Jan 2018 00:26:11 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Oct 2019 06:33:09 GMT",
"version": "v2"
}
] | 2019-11-01 | [
[
"Chen",
"Junting",
""
],
[
"Gesbert",
"David",
""
]
] | This paper studies the optimal unmanned aerial vehicle (UAV) placement problem for wireless networking. The UAV operates as a flying wireless relay to provide coverage extension for a base station (BS) and deliver capacity boost to a user shadowed by obstacles. While existing methods rely on statistical models for pote... |
1710.04133 | Emanuele Massaro Ph.D. | Umberto Fugiglando, Emanuele Massaro, Paolo Santi, Sebastiano Milardo,
Kacem Abida, Rainer Stahlmann, Florian Netter, Carlo Ratti | Driving Behavior Analysis through CAN Bus Data in an Uncontrolled
Environment | null | null | null | null | cs.LG cs.CY physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cars can nowadays record several thousands of signals through the CAN bus
technology and potentially provide real-time information on the car, the driver
and the surrounding environment. This paper proposes a new method for the
analysis and classification of driver behavior using a selected subset of CAN
bus signals,... | [
{
"created": "Mon, 9 Oct 2017 09:58:23 GMT",
"version": "v1"
}
] | 2017-10-12 | [
[
"Fugiglando",
"Umberto",
""
],
[
"Massaro",
"Emanuele",
""
],
[
"Santi",
"Paolo",
""
],
[
"Milardo",
"Sebastiano",
""
],
[
"Abida",
"Kacem",
""
],
[
"Stahlmann",
"Rainer",
""
],
[
"Netter",
"Florian",
""
... | Cars can nowadays record several thousands of signals through the CAN bus technology and potentially provide real-time information on the car, the driver and the surrounding environment. This paper proposes a new method for the analysis and classification of driver behavior using a selected subset of CAN bus signals, s... |
2202.02790 | Fabio Ferreira | Fabio Ferreira and Thomas Nierhoff and Andreas Saelinger and Frank
Hutter | Learning Synthetic Environments and Reward Networks for Reinforcement
Learning | null | International Conference on Learning Representations (ICLR 2022) | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | We introduce Synthetic Environments (SEs) and Reward Networks (RNs),
represented by neural networks, as proxy environment models for training
Reinforcement Learning (RL) agents. We show that an agent, after being trained
exclusively on the SE, is able to solve the corresponding real environment.
While an SE acts as a... | [
{
"created": "Sun, 6 Feb 2022 14:55:59 GMT",
"version": "v1"
}
] | 2022-02-08 | [
[
"Ferreira",
"Fabio",
""
],
[
"Nierhoff",
"Thomas",
""
],
[
"Saelinger",
"Andreas",
""
],
[
"Hutter",
"Frank",
""
]
] | We introduce Synthetic Environments (SEs) and Reward Networks (RNs), represented by neural networks, as proxy environment models for training Reinforcement Learning (RL) agents. We show that an agent, after being trained exclusively on the SE, is able to solve the corresponding real environment. While an SE acts as a f... |
2405.05736 | Shashank Gupta | Shashank Gupta, Olivier Jeunen, Harrie Oosterhuis, and Maarten de
Rijke | Optimal Baseline Corrections for Off-Policy Contextual Bandits | null | null | 10.1145/3640457.3688105 | null | cs.LG cs.IR | http://creativecommons.org/licenses/by/4.0/ | The off-policy learning paradigm allows for recommender systems and general
ranking applications to be framed as decision-making problems, where we aim to
learn decision policies that optimize an unbiased offline estimate of an online
reward metric. With unbiasedness comes potentially high variance, and prevalent
met... | [
{
"created": "Thu, 9 May 2024 12:52:22 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Aug 2024 14:14:02 GMT",
"version": "v2"
}
] | 2024-08-15 | [
[
"Gupta",
"Shashank",
""
],
[
"Jeunen",
"Olivier",
""
],
[
"Oosterhuis",
"Harrie",
""
],
[
"de Rijke",
"Maarten",
""
]
] | The off-policy learning paradigm allows for recommender systems and general ranking applications to be framed as decision-making problems, where we aim to learn decision policies that optimize an unbiased offline estimate of an online reward metric. With unbiasedness comes potentially high variance, and prevalent metho... |
1708.05682 | Lu Huang | Lu Huang, Jiasong Sun, Ji Xu and Yi Yang | An Improved Residual LSTM Architecture for Acoustic Modeling | 5 pages, 2 figures | null | null | null | cs.CL cs.AI cs.SD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Long Short-Term Memory (LSTM) is the primary recurrent neural networks
architecture for acoustic modeling in automatic speech recognition systems.
Residual learning is an efficient method to help neural networks converge
easier and faster. In this paper, we propose several types of residual LSTM
methods for our acous... | [
{
"created": "Thu, 17 Aug 2017 01:37:21 GMT",
"version": "v1"
}
] | 2017-08-21 | [
[
"Huang",
"Lu",
""
],
[
"Sun",
"Jiasong",
""
],
[
"Xu",
"Ji",
""
],
[
"Yang",
"Yi",
""
]
] | Long Short-Term Memory (LSTM) is the primary recurrent neural networks architecture for acoustic modeling in automatic speech recognition systems. Residual learning is an efficient method to help neural networks converge easier and faster. In this paper, we propose several types of residual LSTM methods for our acousti... |
2403.08002 | Juan Manuel Zambrano Chaves | Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu,
Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang,
Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng
Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P.
Lungren, Akshay Chau... | Towards a clinically accessible radiology foundation model: open-access
and lightweight, with automated evaluation | null | null | null | null | cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The scaling laws and extraordinary performance of large foundation models
motivate the development and utilization of such models in biomedicine.
However, despite early promising results on some biomedical benchmarks, there
are still major challenges that need to be addressed before these models can be
used in real-w... | [
{
"created": "Tue, 12 Mar 2024 18:12:02 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Mar 2024 23:31:22 GMT",
"version": "v2"
},
{
"created": "Sat, 4 May 2024 00:35:01 GMT",
"version": "v3"
},
{
"created": "Fri, 10 May 2024 23:46:33 GMT",
"version": "v4"
},
{
"cr... | 2024-06-28 | [
[
"Chaves",
"Juan Manuel Zambrano",
""
],
[
"Huang",
"Shih-Cheng",
""
],
[
"Xu",
"Yanbo",
""
],
[
"Xu",
"Hanwen",
""
],
[
"Usuyama",
"Naoto",
""
],
[
"Zhang",
"Sheng",
""
],
[
"Wang",
"Fei",
""
],
[
"... | The scaling laws and extraordinary performance of large foundation models motivate the development and utilization of such models in biomedicine. However, despite early promising results on some biomedical benchmarks, there are still major challenges that need to be addressed before these models can be used in real-wor... |
2201.09329 | Olga Kononova | Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo,
Tanjin He, Bowen Deng, Olga Kononova and Gerbrand Ceder | ULSA: Unified Language of Synthesis Actions for Representation of
Synthesis Protocols | null | null | null | null | cs.LG cond-mat.mtrl-sci | http://creativecommons.org/licenses/by/4.0/ | Applying AI power to predict syntheses of novel materials requires
high-quality, large-scale datasets. Extraction of synthesis information from
scientific publications is still challenging, especially for extracting
synthesis actions, because of the lack of a comprehensive labeled dataset using
a solid, robust, and w... | [
{
"created": "Sun, 23 Jan 2022 17:44:48 GMT",
"version": "v1"
}
] | 2022-01-25 | [
[
"Wang",
"Zheren",
""
],
[
"Cruse",
"Kevin",
""
],
[
"Fei",
"Yuxing",
""
],
[
"Chia",
"Ann",
""
],
[
"Zeng",
"Yan",
""
],
[
"Huo",
"Haoyan",
""
],
[
"He",
"Tanjin",
""
],
[
"Deng",
"Bowen",
"... | Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still challenging, especially for extracting synthesis actions, because of the lack of a comprehensive labeled dataset using a solid, robust, and wel... |
2107.14050 | Ali Shahaab | Ali Shahaab, Chaminda Hewage, Imtiaz Khan | Preventing Spoliation of Evidence with Blockchain: A Perspective from
South Asia | ICBCT21, March 26-28, 2021, Shanghai, China | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Evidence destruction and tempering is a time-tested tactic to protect the
powerful perpetrators, criminals, and corrupt officials. Countries where law
enforcing institutions and judicial system can be comprised, and evidence
destroyed or tampered, ordinary citizens feel disengaged with the investigation
or prosecutio... | [
{
"created": "Wed, 14 Jul 2021 11:59:12 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Shahaab",
"Ali",
""
],
[
"Hewage",
"Chaminda",
""
],
[
"Khan",
"Imtiaz",
""
]
] | Evidence destruction and tempering is a time-tested tactic to protect the powerful perpetrators, criminals, and corrupt officials. Countries where law enforcing institutions and judicial system can be comprised, and evidence destroyed or tampered, ordinary citizens feel disengaged with the investigation or prosecution ... |
1812.04647 | Ankur Gandhe | Ankur Gandhe, Ariya Rastrow, Bjorn Hoffmeister | Scalable language model adaptation for spoken dialogue systems | Accepted at SLT 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Language models (LM) for interactive speech recognition systems are trained
on large amounts of data and the model parameters are optimized on past user
data. New application intents and interaction types are released for these
systems over time, imposing challenges to adapt the LMs since the existing
training data i... | [
{
"created": "Tue, 11 Dec 2018 19:02:05 GMT",
"version": "v1"
}
] | 2018-12-13 | [
[
"Gandhe",
"Ankur",
""
],
[
"Rastrow",
"Ariya",
""
],
[
"Hoffmeister",
"Bjorn",
""
]
] | Language models (LM) for interactive speech recognition systems are trained on large amounts of data and the model parameters are optimized on past user data. New application intents and interaction types are released for these systems over time, imposing challenges to adapt the LMs since the existing training data is ... |
0805.0648 | Mathieu Bredif | Mathieu Br\'edif, Dider Boldo, Marc Pierrot-Deseilligny, Henri
Ma\^itre | 3D Building Model Fitting Using A New Kinetic Framework | null | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe a new approach to fit the polyhedron describing a 3D building
model to the point cloud of a Digital Elevation Model (DEM). We introduce a new
kinetic framework that hides to its user the combinatorial complexity of
determining or maintaining the polyhedron topology, allowing the design of a
simple variati... | [
{
"created": "Tue, 6 May 2008 06:34:31 GMT",
"version": "v1"
}
] | 2008-12-18 | [
[
"Brédif",
"Mathieu",
""
],
[
"Boldo",
"Dider",
""
],
[
"Pierrot-Deseilligny",
"Marc",
""
],
[
"Maître",
"Henri",
""
]
] | We describe a new approach to fit the polyhedron describing a 3D building model to the point cloud of a Digital Elevation Model (DEM). We introduce a new kinetic framework that hides to its user the combinatorial complexity of determining or maintaining the polyhedron topology, allowing the design of a simple variation... |
2205.10822 | Li Du | Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin | A Graph Enhanced BERT Model for Event Prediction | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Predicting the subsequent event for an existing event context is an important
but challenging task, as it requires understanding the underlying relationship
between events. Previous methods propose to retrieve relational features from
event graph to enhance the modeling of event correlation. However, the sparsity
of ... | [
{
"created": "Sun, 22 May 2022 13:37:38 GMT",
"version": "v1"
}
] | 2022-05-24 | [
[
"Du",
"Li",
""
],
[
"Ding",
"Xiao",
""
],
[
"Zhang",
"Yue",
""
],
[
"Xiong",
"Kai",
""
],
[
"Liu",
"Ting",
""
],
[
"Qin",
"Bing",
""
]
] | Predicting the subsequent event for an existing event context is an important but challenging task, as it requires understanding the underlying relationship between events. Previous methods propose to retrieve relational features from event graph to enhance the modeling of event correlation. However, the sparsity of ev... |
2108.09604 | Lili Su | Lili Su, Quanquan C. Liu, Neha Narula | The Power of Random Symmetry-Breaking in Nakamoto Consensus | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nakamoto consensus underlies the security of many of the world's largest
cryptocurrencies, such as Bitcoin and Ethereum. Common lore is that Nakamoto
consensus only achieves consistency and liveness under a regime where the
difficulty of its underlying mining puzzle is very high, negatively impacting
overall throughp... | [
{
"created": "Sun, 22 Aug 2021 00:18:44 GMT",
"version": "v1"
}
] | 2021-08-24 | [
[
"Su",
"Lili",
""
],
[
"Liu",
"Quanquan C.",
""
],
[
"Narula",
"Neha",
""
]
] | Nakamoto consensus underlies the security of many of the world's largest cryptocurrencies, such as Bitcoin and Ethereum. Common lore is that Nakamoto consensus only achieves consistency and liveness under a regime where the difficulty of its underlying mining puzzle is very high, negatively impacting overall throughput... |
1808.08573 | Zied Elloumi | Zied Elloumi, Laurent Besacier, Olivier Galibert, Benjamin Lecouteux | Analyzing Learned Representations of a Deep ASR Performance Prediction
Model | EMNLP 2018 Workshop | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper addresses a relatively new task: prediction of ASR performance on
unseen broadcast programs. In a previous paper, we presented an ASR performance
prediction system using CNNs that encode both text (ASR transcript) and speech,
in order to predict word error rate. This work is dedicated to the analysis of
sp... | [
{
"created": "Sun, 26 Aug 2018 15:10:47 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Aug 2018 09:59:05 GMT",
"version": "v2"
}
] | 2018-08-29 | [
[
"Elloumi",
"Zied",
""
],
[
"Besacier",
"Laurent",
""
],
[
"Galibert",
"Olivier",
""
],
[
"Lecouteux",
"Benjamin",
""
]
] | This paper addresses a relatively new task: prediction of ASR performance on unseen broadcast programs. In a previous paper, we presented an ASR performance prediction system using CNNs that encode both text (ASR transcript) and speech, in order to predict word error rate. This work is dedicated to the analysis of spee... |
2407.14108 | Florian Chabot | Florian Chabot, Nicolas Granger, Guillaume Lapouge | GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV
Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Bird's-eye View (BeV) representation is widely used for 3D perception
from multi-view camera images. It allows to merge features from different
cameras into a common space, providing a unified representation of the 3D
scene. The key component is the view transformer, which transforms image views
into the BeV. How... | [
{
"created": "Fri, 19 Jul 2024 08:24:36 GMT",
"version": "v1"
}
] | 2024-07-22 | [
[
"Chabot",
"Florian",
""
],
[
"Granger",
"Nicolas",
""
],
[
"Lapouge",
"Guillaume",
""
]
] | The Bird's-eye View (BeV) representation is widely used for 3D perception from multi-view camera images. It allows to merge features from different cameras into a common space, providing a unified representation of the 3D scene. The key component is the view transformer, which transforms image views into the BeV. Howev... |
cs/0602075 | Peter Jonsson | Vladimir Deineko, Peter Jonsson, Mikael Klasson, and Andrei Krokhin | The approximability of MAX CSP with fixed-value constraints | null | null | null | null | cs.CC | null | In the maximum constraint satisfaction problem (MAX CSP), one is given a
finite collection of (possibly weighted) constraints on overlapping sets of
variables, and the goal is to assign values from a given finite domain to the
variables so as to maximize the number (or the total weight, for the weighted
case) of sati... | [
{
"created": "Tue, 21 Feb 2006 14:13:37 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Deineko",
"Vladimir",
""
],
[
"Jonsson",
"Peter",
""
],
[
"Klasson",
"Mikael",
""
],
[
"Krokhin",
"Andrei",
""
]
] | In the maximum constraint satisfaction problem (MAX CSP), one is given a finite collection of (possibly weighted) constraints on overlapping sets of variables, and the goal is to assign values from a given finite domain to the variables so as to maximize the number (or the total weight, for the weighted case) of satisf... |
2406.07209 | Siming Fu | X. Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang | MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout
Guidance | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in text-to-image generation models have dramatically
enhanced the generation of photorealistic images from textual prompts, leading
to an increased interest in personalized text-to-image applications,
particularly in multi-subject scenarios. However, these advances are hindered
by two main challen... | [
{
"created": "Tue, 11 Jun 2024 12:32:53 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Wang",
"X.",
""
],
[
"Fu",
"Siming",
""
],
[
"Huang",
"Qihan",
""
],
[
"He",
"Wanggui",
""
],
[
"Jiang",
"Hao",
""
]
] | Recent advancements in text-to-image generation models have dramatically enhanced the generation of photorealistic images from textual prompts, leading to an increased interest in personalized text-to-image applications, particularly in multi-subject scenarios. However, these advances are hindered by two main challenge... |
2203.12647 | Nicky Zimmerman | Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino, Thomas L\"abe,
Jens Behley, Cyrill Stachniss | Robust Onboard Localization in Changing Environments Exploiting Text
Spotting | This work has been accepted to IROS 2022. Copyright may be
transferred without notice, after which this version may no longer be
accessible | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robust localization in a given map is a crucial component of most autonomous
robots. In this paper, we address the problem of localizing in an indoor
environment that changes and where prominent structures have no correspondence
in the map built at a different point in time. To overcome the discrepancy
between the ma... | [
{
"created": "Wed, 23 Mar 2022 18:12:48 GMT",
"version": "v1"
},
{
"created": "Sat, 23 Jul 2022 09:40:34 GMT",
"version": "v2"
}
] | 2022-07-26 | [
[
"Zimmerman",
"Nicky",
""
],
[
"Wiesmann",
"Louis",
""
],
[
"Guadagnino",
"Tiziano",
""
],
[
"Läbe",
"Thomas",
""
],
[
"Behley",
"Jens",
""
],
[
"Stachniss",
"Cyrill",
""
]
] | Robust localization in a given map is a crucial component of most autonomous robots. In this paper, we address the problem of localizing in an indoor environment that changes and where prominent structures have no correspondence in the map built at a different point in time. To overcome the discrepancy between the map ... |
1606.05675 | Chang Liu | Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane and
Yunsheng Ma | DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided
Dietary Assessment | 12 pages, 2 figures, 6 tables, ICOST 2016 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were
overweight. Of these, over 600 million were obese. Accurately documenting
dietary caloric intake is crucial to manage weight loss, but also presents
challenges because most of the current methods for dietary assessment must rely
on memory to r... | [
{
"created": "Fri, 17 Jun 2016 21:03:19 GMT",
"version": "v1"
}
] | 2016-06-21 | [
[
"Liu",
"Chang",
""
],
[
"Cao",
"Yu",
""
],
[
"Luo",
"Yan",
""
],
[
"Chen",
"Guanling",
""
],
[
"Vokkarane",
"Vinod",
""
],
[
"Ma",
"Yunsheng",
""
]
] | Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to rec... |
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