aid stringlengths 9 15 | mid stringlengths 7 10 | abstract stringlengths 78 2.56k | related_work stringlengths 92 1.77k | ref_abstract dict |
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1907.05587 | 2956252722 | The problem of adversarial examples, evasion attacks on machine learning classifiers, has proven extremely difficult to solve. This is true even when, as is the case in many practical settings, the classifier is hosted as a remote service and so the adversary does not have direct access to the model parameters. This pa... | To our knowledge, our scheme is the first to use the history of queries in order to detect query-based black-box attacks for creating adversarial examples. The most closely related work is PRADA @cite_24 , which detects black-box model extraction attacks using the history of queries. They examine the @math distance bet... | {
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"As machine learning (ML) applications become increasingly prevalent, protecting the confidentiality of ML models becomes paramount for two reasons: (a) models may constitute a business advantage to its owner, and (b) an adversary ... |
1907.05587 | 2956252722 | The problem of adversarial examples, evasion attacks on machine learning classifiers, has proven extremely difficult to solve. This is true even when, as is the case in many practical settings, the classifier is hosted as a remote service and so the adversary does not have direct access to the model parameters. This pa... | Other work has been done to defend against white-box attacks, such as adversarial training @cite_28 . Such defenses are complementary to our defense: we can apply our detection strategy on top of any model. In our paper we study our defense on top of a non-robust model for simplicity and to accurately measure the value... | {
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"Recent work has demonstrated that neural networks are vulnerable to adversarial examples, i.e., inputs that are almost indistinguishable from natural data and yet classified incorrectly by the net... |
1907.05587 | 2956252722 | The problem of adversarial examples, evasion attacks on machine learning classifiers, has proven extremely difficult to solve. This is true even when, as is the case in many practical settings, the classifier is hosted as a remote service and so the adversary does not have direct access to the model parameters. This pa... | Transfer attacks are a common approach in the zero-query setting @cite_18 . We explore combining our defense with ensemble adversarial training @cite_19 , currently one of the most effective defenses against zero-query transfer attacks, but the recent Sitatapatra defense may also be effective @cite_3 . | {
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"Adversarial examples are perturbed inputs designed to fool machine learning models. Adversarial training injects such examples into training data to increase robus... |
1907.05587 | 2956252722 | The problem of adversarial examples, evasion attacks on machine learning classifiers, has proven extremely difficult to solve. This is true even when, as is the case in many practical settings, the classifier is hosted as a remote service and so the adversary does not have direct access to the model parameters. This pa... | The approach for query blinding takes inspiration from previous work in signature blinding @cite_31 and mimicry attacks @cite_17 . | {
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"Automation of the way we pay for goods and services is already underway, as can be seen by the variety and growth of electronic banking services available to consumers. The ultimate structure of t... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | Energy accumulation can be performed at receivers utilizing maximal ratio combining (MRC) of orthogonal signals in time, frequency or code domain (see @cite_35 @cite_30 @cite_3 ). | {
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"We formulate the problem of delay constrained energy-efficient broadcast in cooperative multihop wireless networks. We show that this important problem is not only... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | Existing energy accumulation based cooperative broadcast algorithms fall into two groups. The first group includes algorithms (e.g., @cite_0 @cite_35 ) in which receiving nodes can combine signals from all previous transmissions to benefit from transmission diversity. These algorithms are called cooperative broadcast a... | {
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"Broadcasting is a method that allows the distributed nodes in a wireless sensor network to share its data efficiently among each other. Due to the limited energy s... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | The problem of cooperative broadcast with minimum energy can be broken into two sub-problems i) transmission scheduling, which determines the set of transmitters and the order of transmissions; ii) power allocation, in which the transmission powers are set. It was proven that, given a transmission scheduling, optimal p... | {
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"Broadcasting is a method that allows the distributed nodes in a wireless sensor network to share its data efficiently among each other. Due to the limited energy supplies of a sensor node, energy ef... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | In addition to saving energy, energy accumulation can be used to reduce broadcast latency @cite_34 . Some existing work study the tradeoff between energy and latency in cooperative broadcast @cite_30 @cite_2 . @cite_30 , Baghaie and Krishnamachari prove that the problem of minimizing the energy consumption while meetin... | {
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"We formulate the problem of delay constrained energy-efficient broadcast in cooperative multihop wireless networks. We show that this important problem is not only NP-comple... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | The best existing approximation algorithm to the problem is, however, due to Caragiannis, Flammini, and Moscardelli @cite_25 . In 2D wireless networks, their algorithm has an approximation ratio of 4.2 for Euclidean cost graphs, and a logarithmic approximation for non-Euclidean cost graphs. | {
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"We present a new approximation algorithm for the Minimum Energy Broadcast Routing (MEBR) problem in ad hoc wireless networks that achieves an exponentially better approximation factor compared to the well-known Minimum Spanning Tr... |
1907.05517 | 2956735194 | Broadcast is a fundamental network operation, widely used in wireless networks to disseminate messages. The energy-efficiency of broadcast is important particularly when devices in the network are energy constrained. To improve the efficiency of broadcast, different approaches have been taken in the literature. One of ... | Unlike 2D networks, in linear networks, the minimum energy of both cooperative and non-cooperative broadcast algorithms can be computed in polynomial time @cite_33 . For linear networks, the ratio of the two minimum power consumptions was proven to be constant with respect to the number of nodes in the network @cite_14... | {
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"We analyze the maximum gain that can be achieved through cooperative broadcast with energy accumulation and memory. We consider a linear network, where a known number of nodes are placed on a line... |
1907.05708 | 2959514140 | Respiratory diseases are among the most common causes of severe illness and death worldwide. Prevention and early diagnosis are essential to limit or even reverse the trend that characterizes the diffusion of such diseases. In this regard, the development of advanced computational tools for the analysis of respiratory ... | In @cite_9 , the authors proposed a method based on hidden Markov models and Gaussian mixture models. The preprocessing phase includes a noise suppression step which relies on spectral subtraction @cite_9 . The input of the model consists of Mel-frequency cepstral coefficients (MFCCs) extracted in the range between 50 ... | {
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"This paper describes a method for enhancing speech corrupted by broadband noise. The method is based on the spectral noise subtraction method. The original method entails subtracting an estimate of the noise power spectrum from the... |
1907.05708 | 2959514140 | Respiratory diseases are among the most common causes of severe illness and death worldwide. Prevention and early diagnosis are essential to limit or even reverse the trend that characterizes the diffusion of such diseases. In this regard, the development of advanced computational tools for the analysis of respiratory ... | The boosted decision tree model proposed in @cite_13 utilizes two different types of features: MFCCs and low-level features extracted with the help of the library @cite_1 . This method was mainly evaluated on a binary prediction setting (i.e., healthy or unhealthy), achieving accuracy up to 85 | {
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"abstract": [
"Comunicacio presentada a la 14th International Society for Music Information Retrieval Conference, celebrada a Curitiba (Brasil) els dies 4 a 8 de novembre de 2013.",
"In modern medicine, every ca... |
1901.03729 | 2909596867 | Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action data representations into natural language. Training on human explanation data can enable agents to learn to generate human-like explanatio... | Much of the previous work on explainable AI has focused on interpretability . While there is no one definition of interpretability with respect to machine learning models, we view interpretability as a property of machine learned models that dictate the degree to which a human user---AI expert or user---can come to con... | {
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"Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if ... |
1901.03729 | 2909596867 | Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action data representations into natural language. Training on human explanation data can enable agents to learn to generate human-like explanatio... | Explanation generation can be described as a form of post-hoc interpretability @cite_41 @cite_13 ; explanations are generated on-demand based on the current state of a model and---potentially---meta-knowledge about how the algorithm works. An important distinction between interpretability and explanation is that explan... | {
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"Supervised machine learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the w... |
1901.03729 | 2909596867 | Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action data representations into natural language. Training on human explanation data can enable agents to learn to generate human-like explanatio... | Our work on rationale generation is a model-agnostic explanation system that works by translating the internal state and action representations of an arbitrary reinforcement learning system into natural language. Andreas, Dragan, and Klein @cite_16 describe a technique that translates message-passing policies between t... | {
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"Procedural content generation via Machine Learning (PCGML) is the umbrella term for approaches that generate content for games via machine learning. One of the benefits of ... |
1901.03729 | 2909596867 | Automated rationale generation is an approach for real-time explanation generation whereby a computational model learns to translate an autonomous agent's internal state and action data representations into natural language. Training on human explanation data can enable agents to learn to generate human-like explanatio... | The dearth of established methods combined with the variable conceptions of explanations make evaluation of XAI systems challenging. @cite_24 use scenario-based survey design @cite_6 and presented different types of hypothetical explanations for the same decision to measure perceived levels of justice. One non-neural b... | {
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"Data-driven decision-making consequential to individuals raises important questions of accountability and justice. Indeed, Europea... |
1901.03814 | 2908943032 | Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed. However, this problem has not been well studied in previous works. In this paper, we propose a lightweight network architecture, called Boundary-Aware Network (BANet) which selectively extra... | : PFCN+ @cite_8 provides a benchmark for the task of portrait segmentation. It calculates firstly an average mask from training dataset, then aligns the average mask to each input images to provide prior information. However, the process of alignment requires facial feature points. So, this method needs an additional l... | {
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"Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area. However, this problem has not been well studied in previous works. In ... |
1901.03814 | 2908943032 | Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed. However, this problem has not been well studied in previous works. In this paper, we propose a lightweight network architecture, called Boundary-Aware Network (BANet) which selectively extra... | : Image matting has been applied for portrait image process for a long time. Traditional matting algorithms @cite_13 @cite_10 @cite_14 @cite_21 require a user defined trimap which limits their applications in automatic image process. Some works @cite_11 @cite_27 have proposed to generate trimap by using deep leaning mo... | {
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1901.03814 | 2908943032 | Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed. However, this problem has not been well studied in previous works. In this paper, we propose a lightweight network architecture, called Boundary-Aware Network (BANet) which selectively extra... | : ENet @cite_28 is the first semantic segmentation network that achieves real-time performance. It adopts ResNet @cite_7 bottleneck structure and reduces channel number in order of acceleration, but ENet loses too much accuracy as a tradeoff. ICNet @cite_25 proposes a multi-stream architecture. Three streams extract fe... | {
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"The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in practical mobile applications.... |
1901.03814 | 2908943032 | Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed. However, this problem has not been well studied in previous works. In this paper, we propose a lightweight network architecture, called Boundary-Aware Network (BANet) which selectively extra... | : Attention mechanism makes high-level information to guide low-level feature extraction. SEnet @cite_16 applies channel attention on image recognition tasks and achieves the state-of-the-art. ExFuse @cite_0 proposes a Semantic Embedding mechanism to use high-level feature to guide low-level feature. DFN @cite_15 learn... | {
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"Modern semantic segmentation frameworks usually combine low-level and high-level features from pre-trained backbone convolutional models to ... |
1901.03613 | 2909793699 | We prove that every permutation of a Cartesian product of two finite sets can be written as a composition of three permutations, the first of which only modifies the left projection, the second only the right projection, and the third again only the left projection, and three alternations is indeed the optimal number. ... | The case of finite sets, which started this paper, is inspired by @cite_1 , where it is shown that any permutation of @math , for three sets @math with @math , can be written as a composition of finitely many permutations where alternately only @math or @math is permuted. Our notion of alternation diameter in the categ... | {
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"Abstract We say that a reversible boolean function on n bits has alternation depth d if it can be written as the sequential composition of d reversible boolean functions, each of which acts only on the top n − 1 bits or on the bott... |
1901.03613 | 2909793699 | We prove that every permutation of a Cartesian product of two finite sets can be written as a composition of three permutations, the first of which only modifies the left projection, the second only the right projection, and the third again only the left projection, and three alternations is indeed the optimal number. ... | It turns out that the results about finite sets and vector spaces have been proved before in the context of memoryless computation: [Theorem 3] BuGiTh14 and [Theorem 2] GaRi15 are essentially the same result as Theorem . More related results on permutation groups can be found in @cite_11 . The motivation and framework ... | {
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"Memoryless computation is a modern technique to compute any function of a set of registers by updating one register at a time while using no memory. Its aim is to emulate how computations are performed in modern cores, since they ... |
1901.03613 | 2909793699 | We prove that every permutation of a Cartesian product of two finite sets can be written as a composition of three permutations, the first of which only modifies the left projection, the second only the right projection, and the third again only the left projection, and three alternations is indeed the optimal number. ... | Theorem is also known previously: the number @math of alternations needed for a product of length @math (which can be obtained from Theorem ) can be found in @cite_7 @cite_2 (for a larger class of modules). It turns out that @math is not optimal at least for finite fields: in [Theorem 2.1] CaFaGa14a it is proved that f... | {
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"We investigate the computation of mappings from a set S n to itself with in situ programs , that is using no extra variables than the input, and performing modifications of one component at a time. ... |
1901.03613 | 2909793699 | We prove that every permutation of a Cartesian product of two finite sets can be written as a composition of three permutations, the first of which only modifies the left projection, the second only the right projection, and the third again only the left projection, and three alternations is indeed the optimal number. ... | It should be possible to extract, from the results of @cite_4 , a natural category where alternation diameter is defined but infinite for some objects. | {
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"Code optimization is an important area of research that has remarkable contributions in addressing the challenges of information technology. It has introduced a new trend in hardware as well as in software. Efforts that have been m... |
1901.03706 | 2911119619 | We focus our attention on the problem of generating adversarial perturbations based on the gradient in image classification domain | In adversarial perturbation generating process, adversarial attack methods try to find a perturbation matrix @math by adding the matrix to origin image, this generated image can fool the deep neural models to make mistake classification of @math from correct label @math to other labels @math , we define these images as... | {
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"Most existing machine learning classifiers are highly vulnerable to adversarial examples. An a... |
1901.03706 | 2911119619 | We focus our attention on the problem of generating adversarial perturbations based on the gradient in image classification domain | Improving the robustness of deep neural models is a comprehensive task, @cite_10 reveal ensemble model mechanism to adversarial defense attack which trains data with adversarial examples produced by pre-trained models and hold-out models that having good defense result against black-box and single-step attack. @cite_0 ... | {
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"Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics, autonomous systems, and security diagnostics. ML is n... |
1901.03568 | 2963462250 | The specification and enforcement of network-wide policies in a single administrative domain is common in today's networks and considered as already resolved. However, this is not the case for multi-administrative domains, e.g. among different enterprises. In such situation, new problems arise that challenge classical ... | There are already several proposals in the literature @cite_7 that leverage blockchains for a wide range of network applications, such as mesh networks @cite_15 , IP addresses @cite_1 , etc. | {
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"Recently, mesh networking and blockchain are two of the hottest technologies in the telecommunications industry. Combining both can reformulate Internet access. Whi... |
1901.03568 | 2963462250 | The specification and enforcement of network-wide policies in a single administrative domain is common in today's networks and considered as already resolved. However, this is not the case for multi-administrative domains, e.g. among different enterprises. In such situation, new problems arise that challenge classical ... | Finally, there is also a growing body of work on blockchain-based access control for IoT: @cite_12 leverages a blockchain to store access permissions for IoT devices with a strong emphasis on key management and distribution. @cite_11 also provides authentication, authorization and auditing for IoT but separates them in... | {
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"In this paper, we propose IoTChain, a combination of the OSCAR architecture [1] and the ACE authorization framework [2] to provide an E2E solution for the secure authorized access to IoT resources... |
1901.03756 | 2910882903 | In person attributes recognition, we describe a person in terms of their appearance. Typically, this includes a wide range of traits including age, gender, clothing, and footwear. Although this could be used in a wide variety of scenarios, it generally is applied to video surveillance, where attribute recognition is im... | Later work @cite_15 @cite_3 proposed using CNNs which showed that end-to-end learning (i.e., learning both feature and classification using stochastic gradient descent) could mitigate some of the limitations associated with support vector machines and hand-crafted features. This has three primary benefits. First, featu... | {
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"We propose a method for inferring human attributes (such as gender, hair style, clothes style, expression, action) from images of people under large variation of viewpoint, pose, appearance, articu... |
1901.03756 | 2910882903 | In person attributes recognition, we describe a person in terms of their appearance. Typically, this includes a wide range of traits including age, gender, clothing, and footwear. Although this could be used in a wide variety of scenarios, it generally is applied to video surveillance, where attribute recognition is im... | Stacked conventional CNNs have limitations in their generalization ability when trained with smaller datasets. Because of this, pedestrian attribute recognition datasets are harder for CNNs to learn due to their limited size. The multi-label CNN (ML-CNN) in @cite_3 , for instance, had to be shallow with only 3 convolut... | {
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1901.03756 | 2910882903 | In person attributes recognition, we describe a person in terms of their appearance. Typically, this includes a wide range of traits including age, gender, clothing, and footwear. Although this could be used in a wide variety of scenarios, it generally is applied to video surveillance, where attribute recognition is im... | CNNs with branched connections in GoogLeNet @cite_4 and residual mapping using "shortcut" connections were proposed to tackle the accuracy degradation problem with deep CNNs @cite_21 @cite_8 . Residual networks are composed of residual units (or blocks) that have a double convolution residual leg and a direct input-to-... | {
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1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Authors in @cite_18 built a proof-of-concept system for counter-surveillance against spy drones by determining whether a certain person or object is under aerial surveillance. They show methods that leverage physical stimuli to detect whether the drone’s camera is directed towards a target in real time. They demonstrat... | {
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"Drones have created a new threat to people's privacy. We are now in an era in which anyone with a drone equipped with a video camera can use it to invade a subject's privacy by streaming the subject in his her private space over a... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Authors in @cite_32 show that the radio control signal sent to an UAV using a typical transmitter can be captured and analyzed to identify the controlling pilot using machine learning techniques. Authors collected messages exchanged between the drone and the remote controller and used them to train multiple classifiers... | {
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"Analysis of interactions with remotely controlled devices has been used to detect the onset of hijacking attacks, as well as for forensics analysis, e.g., to identify the human controller. Its effectiveness is known to depend on t... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Authors in @cite_10 explored the feasibility of RF-based detection of drones by looking at radio physical characteristics of the communication channel when the drones's body is affected by vibration and body shifting. The analysis considered whether the received drone signals are uniquely differentiated from other mobi... | {
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"Drones are increasingly flying in sensitive airspace where their presence may cause harm, such as near airports, forest fires, large crowded events, secure buildings, and even jails. This problem is likely to expand given the rapi... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | An identification mechanism based on the correlation between motion observed from an external camera and acceleration measured on each UAV's accelerometer is proposed by @cite_4 . This solution combines FPV information with accelerometer information to remotely control a subset of swarm drones that are not provided wit... | {
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"abstract": [
"Unmanned aerial vehicle (UAV) swarms provide situation awareness in potential life-threatening tasks such as emergency response, search and rescue, etc. However, most of these scenarios take place in GPS-denied environments, where ... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Fingerprinting of wireless radio traffic at the network layer is emerging as a promising technique to uniquely identify devices in the wild. Authors in @cite_6 proved that the extraction of unique fingerprints provides a reliable and robust means for device identification. | {
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"Node forgery or impersonation, in which legitimate cryptographic credentials are captured by an adversary, constitutes one major security threat facing wireless networks. The fact that mobile devices are prone to be compromised and... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | A fingerprinting approach for drone identification is proposed in @cite_37 . Authors analyzed the WiFi communication protocol used by drones and developed three unique methods to identify a specific drone model: (i) examining the time intervals between probe request frames; (ii) utilizing the signal strength carried in... | {
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"abstract": [
"To better address the growing threats of small commercial Unmanned Aerial Systems (UASs), we developed novel methods to identify specific types of drone models by building their wireless communication profiles with machine learnin... |
1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Machine learning techniques have been successfully used for other purposes in this research field. In @cite_21 , authors proposed a wireless power transfer system that predicts the drone's behavior based on the flight data, utilizing machine learning techniques and Naive Bayes algorithms. | {
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1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | In @cite_17 , authors demonstrated that machine learning can successfully predict the transmission patterns in drone network. The packet transmission rates of a communication network with twenty drones were simulated, of which results were used to train the linear regression and Support Vector Machine with Quadratic Ke... | {
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1901.03535 | 2911222431 | We propose PiNcH, a methodology to detect the presence of a drone and its current status leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classification algorithms to the eavesdropped traffic, analyzing features such as packets inter-... | Finally, authors in @cite_19 analyze the basic architecture of a drone and propose a generic drone forensic model that would improve the digital investigation process. They also provide recommendations on how one should perform forensics on the various components of a drone such as camera and Wi-Fi. | {
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1901.03597 | 2910333870 | In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records can do much more than hold the data for ransom or sell it on the black market. In this paper, we show how an attacker can use deep-learning... | Many works have proposed methods for detecting forgeries in medical images @cite_49 , but none have focused on the attack itself. The most common methods of image forgery are: copying content from one image to another (image splicing), duplicating content within the same image to cover up or add something (copy-move), ... | {
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1901.03597 | 2910333870 | In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records can do much more than hold the data for ransom or sell it on the black market. In this paper, we show how an attacker can use deep-learning... | Copy-move attacks can be used to remove cancer or duplicate an existing cancer. However, duplicating an existing cancer will raise suspicion because radiologists closely analyze each sample. Image-splicing can be used to inject cancer into healthy lungs. However, CT scanners have distinct local noise patterns which are... | {
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"Medical image processing is considered as an important topic in the domain of image processing. It is used to help the doctors to improve and speed up the diagnosis process. In particular, compute... |
1901.03597 | 2910333870 | In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records can do much more than hold the data for ransom or sell it on the black market. In this paper, we show how an attacker can use deep-learning... | Since 2016, over 100 papers relating to GANs and medical imaging have been published @cite_2 . These publications mostly relate image reconstruction, denoising, image generation (synthesis), segmentation, detection, classification, and registration. We will focus on the use of GANs to generate medical images. | {
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"Abstract Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function. The adversarial loss... |
1901.03597 | 2910333870 | In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records can do much more than hold the data for ransom or sell it on the black market. In this paper, we show how an attacker can use deep-learning... | Another apporach to augmenting medical datasets is the generation of new instances. In @cite_7 , the authors use a DCGAN to generate 2D brain MRI images with a resolution of 220x172. In @cite_31 , the authors used a DCGAN to generate 2D liver lesions with a resolution of 64x64. In @cite_18 , the authors generated 3D bl... | {
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1901.03459 | 2887684398 | We introduce a new task named Story Ending Generation (SEG), which aims at generating a coherent story ending from a sequence of story plot. We propose a framework consisting of a Generator and a Reward Manager for this task. The Generator follows the pointer-generator network with coverage mechanism to deal with out-o... | Encoder-decoder framework, which uses neural networks as encoder and decoder, was first proposed in machine translation @cite_7 @cite_12 and has been widely used in NLG tasks. The encoder reads and encodes a source sentence into a fixed-length vector, then the decoder outputs a new sequence from the encoded vector. Att... | {
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1901.03459 | 2887684398 | We introduce a new task named Story Ending Generation (SEG), which aims at generating a coherent story ending from a sequence of story plot. We propose a framework consisting of a Generator and a Reward Manager for this task. The Generator follows the pointer-generator network with coverage mechanism to deal with out-o... | The encoder-decoder framework is typically trained by maximizing the log-likelihood of the next word given the previous ground-truth input words, resulting in exposure bias @cite_15 and objective mismatch @cite_30 problems. Exposure bias refers to the input distribution discrepancy between training and testing time, wh... | {
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1901.03438 | 2909970382 | Recent pretrained sentence encoders achieve state of the art results on language understanding tasks, but does this mean they have implicit knowledge of syntactic structures? We introduce a grammatically annotated development set for the Corpus of Linguistic Acceptability (CoLA; , 2018), which we use to investigate the... | The Corpus of Linguistic Acceptability @cite_14 is a dataset of 10k example sentences including expert annotations for grammatical acceptability. The sentences are example sentences taken from 23 theoretical linguistics publications, mostly about syntax, including undergraduate textbooks, research articles, and dissert... | {
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"In this work, we explore the ability of artificial neural networks to judge the grammatical acceptability of a sentence. Machine learning research of this kind is well placed to answer important open questions about the role of pr... |
1901.03440 | 2908591872 | The representation of the posterior is a critical aspect of effective variational autoencoders (VAEs). Poor choices for the posterior have a detrimental impact on the generative performance of VAEs due to the mismatch with the true posterior. We extend the class of posterior models that may be learned by using undirect... | REINFORCE @cite_60 is the most generic approach for computing the gradient of the approximate posteriors. However, in practice, this estimator suffers from high-variance and must be augmented by variance reduction techniques. For a large class of continuous latent variable models the reparameterization trick @cite_6 @c... | {
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1901.03281 | 2911115627 | Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (HrMS) and low-resolution hyperspectral (LrHS) images can generally be captured at video rate in practice. In this paper, we propose a model-b... | The pansharpening technique in remote sensing is closely related to the investigated MS HS problem. This task aims to obtain a high spatial resolution MS image by the fusion of a MS image and a wide-band panchromatic image. A heuristic approach to perform MS HS fusion is to treat it as a number of pansharpening sub-pro... | {
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1901.03281 | 2911115627 | Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (HrMS) and low-resolution hyperspectral (LrHS) images can generally be captured at video rate in practice. In this paper, we propose a model-b... | In the last few years, machine learning based methods have gained much attention on MS HS fusion problem @cite_6 @cite_34 @cite_33 @cite_17 @cite_47 @cite_27 @cite_1 @cite_38 . Some of these methods used sparse coding technique to learn a dictionary on the patches across a HrMS image, which delivers spatial knowledge o... | {
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1901.03281 | 2911115627 | Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (HrMS) and low-resolution hyperspectral (LrHS) images can generally be captured at video rate in practice. In this paper, we propose a model-b... | Recently, a number of DL-based pansharpening methods were proposed by exploiting different network structures @cite_10 @cite_16 @cite_45 @cite_11 @cite_49 @cite_8 @cite_29 . These methods can be easily adapted to MS HS fusion problem. For example, very recently, @cite_55 proposed a 3D-CNN based MS HS fusion method by u... | {
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1901.03302 | 2909963584 | Software engineers make use of design patterns for reasons that range from performance to code comprehensibility. Several design patterns capturing the body of knowledge of best practices have been proposed in the past, namely creational, structural and behavioral patterns. However, with the advent of mobile devices, i... | In previous work, @cite_1 have mined 290 energy-saving software commits, identifying 12 categories of source code modification to improve energy usage : , , , , , , , , , , , and . The programming languages used to implement the software systems used in this study were diverse: programming C (158 projects), Java (25 pr... | {
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1901.03302 | 2909963584 | Software engineers make use of design patterns for reasons that range from performance to code comprehensibility. Several design patterns capturing the body of knowledge of best practices have been proposed in the past, namely creational, structural and behavioral patterns. However, with the advent of mobile devices, i... | With a similar approach, @cite_0 have mined 468 power management commits to find coding practices in Android apps . Using a hybrid card sort approach, six different power management practices were identified: , , , , . The study shows that power management activities are more prevalent in navigation apps. Conversely, o... | {
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"As Android platform becomes more and more popular, a large amount of Android applications have been developed. When developers design and implement Android applications, power consumption management is an important factor to consid... |
1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | Geo-located and time-stamped data available in form of text and visual content on social media have also been widely utilized for disaster events analysis to gather useful information to be used in rescue and rehabilitation @cite_7 . To this aim, most of the approaches rely on two types of complementary information inc... | {
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1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | Existing pre-trained models are also used in @cite_44 , where five different models from four state-of-the-art deep architectures, namely AlexNet @cite_0 , GoogleNet @cite_34 , VggNet @cite_17 and ResNet @cite_8 , pre-trained on the large-scale ImageNet and Places datasets @cite_12 , were used. The basic insight of the... | {
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1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | @cite_21 rely on hand-crafted visual features, such as the colour and edge directivity descriptor (CEDD) @cite_6 , color layout @cite_48 and Gabor wavelets @cite_33 . A more sophisticated solution has been proposed for textual information (i.e., description, title and users' tags) relying on word embeddings trained on ... | {
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1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | An active learning framework intending to collect, filter and analyze social media contents for natural disasters has been proposed in @cite_28 . For data collection, a publicly available system, namely AIDR @cite_43 , has been used to crawl social media platforms, followed by a crowd-sourcing activity for data annotat... | {
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1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | Being one of the most valuable sources of information for disaster analysis @cite_7 @cite_9 @cite_52 , a growing portion of research also aims at the detection and classification of natural disaster events in satellite imagery. @cite_1 proposed a deep architecture along with a wavelet transformation-based pre-processin... | {
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1901.03298 | 2909948158 | This paper addresses the problem of floods classification and floods aftermath detection utilizing both social media and satellite imagery. Automatic detection of disasters such as floods is still a very challenging task. The focus lies on identifying passable routes or roads during floods. Two novel solutions are pres... | @cite_44 tackle flood detection in satellite imagery as a generative problem where an Adversarial Generative Networks (GANs) based framework has been proposed. The framework mainly relies on a GANs architecture, namely V-GAN @cite_46 , originally developed for the retinal vessel segmentation. In order to adopt the arch... | {
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1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | Among bag of words based models, early attempts including @cite_37 directly extended the idea of Word2Vec by treating each sentence as a whole with a unique feature id. Later, @cite_7 showed that a more flexible approach, which simply computes the sentence embedding by summing up the embeddings of individual words, wou... | {
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1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | As for sequence-based approaches, @cite_17 proposed SkipThought algorithm that employs a sequence based model to encode a sentence and let it decode its pre and post sentences during training. By including attention mechanism in a sequence-to-sequence model , a better weighting scheme is achieved in compositing the fin... | {
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"Most sentence embedding models typically represent each sentence only using word surface, which makes these models indiscriminative for ubiquitous homonymy and polysemy. In ... |
1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | In parallel to neural network based models, another popular approach to feature embedding is based on matrix factorization , where a column represents a feature (, a movie) and each row represents a cooccurrence of features (, list of movies watched by a user). In this setting, one can compute the embeddings for both t... | {
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1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | Modeling sequential data (, sentences or sound) requires inferring current output from both past observation and current input. Recurrent neural network (RNN) assumes past observations can be summarized in its hidden state, which can then be learned recurrently (recursive in time). Despite its promising modeling power,... | {
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"In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two r... |
1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | More recently, rather than improving the basic RNN-like structures, it was found that changing how they are stacked and connected can help solve very challenging problems like language translation. The sequence-to-sequence model @cite_44 is one of such successful stories. Then the attention mechanism was proposed able ... | {
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"abstract": [
"Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large label... |
1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | The visual pathway is one of the most well understood components in human brain, and the convolutional neural network model @cite_55 has been proven to model its hierarchical, multi-layer processing functionality very closely. A series of upgrades have been added to the basic CNN structure to improve its performance, s... | {
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1901.03415 | 2909450233 | We propose a principle for exploring context in machine learning models. Starting with a simple assumption that each observation may or may not depend on its context, a conditional probability distribution is decomposed into two parts: context-free and context-sensitive. Then by employing the log-linear word production... | However, human vision is also known to be sensitive to changes in time and attend only to contents that have evolutionary value. @cite_0 proposed a reinforcement learning model to explain the dynamic process of fixation in human vision. @cite_34 directly generalizes the text attention model in the encoder-decoder struc... | {
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1901.03465 | 2909206252 | Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems. In this study, we propose a method to discriminate hand components and to locate fingertips in RGB-D images. The system consists of three main steps: hand detection using RGB images providing re... | Regarding the hand component segmentation problem, researchers have focused on two main approaches: wearable device- and image processing-based methods @cite_17 @cite_7 @cite_18 @cite_10 . While the former does not meet the natural and comfortable interaction criteria, the latter is considered a promising approach with... | {
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1901.03465 | 2909206252 | Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems. In this study, we propose a method to discriminate hand components and to locate fingertips in RGB-D images. The system consists of three main steps: hand detection using RGB images providing re... | To address the fingertip detection issue, researchers have clearly focused on two main approaches in terms of input signals: the first only uses RGB images while the other considers depth images as well. The latter consistently acquires a reputation for its performance compared to the former since it uses both RGB valu... | {
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"This paper presents a low-cost hand gesture human-computer interaction system for remote controlling of TV and Set-Top-Box (STB). Th... |
1901.03465 | 2909206252 | Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems. In this study, we propose a method to discriminate hand components and to locate fingertips in RGB-D images. The system consists of three main steps: hand detection using RGB images providing re... | In the past few years, deep convolutional neural networks have achieved state-of-the-art performance in numerous computer vision issues. Due to the availability of powerful hardware and public datasets, training deep neural networks is not as difficult or restricting as it was previously @cite_12 . In this paper, we pr... | {
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1901.03447 | 2910555006 | This paper addresses the problem of interpolating visual textures. We formulate the problem of texture interpolation by requiring (1) by-example controllability and (2) realistic and smooth interpolation among an arbitrary number of texture samples. To solve it we propose a neural network trained simultaneously on a re... | Recently, generative adversarial networks (GANs) @cite_21 @cite_7 @cite_46 @cite_2 have shown improved realism in image synthesis and translation tasks @cite_32 @cite_42 @cite_41 . GANs have also been used directly for texture synthesis @cite_51 @cite_30 @cite_4 , however they were limited to a single texture they were... | {
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1901.03447 | 2910555006 | This paper addresses the problem of interpolating visual textures. We formulate the problem of texture interpolation by requiring (1) by-example controllability and (2) realistic and smooth interpolation among an arbitrary number of texture samples. To solve it we propose a neural network trained simultaneously on a re... | Finally, some neural-based image stylization approaches @cite_44 @cite_51 @cite_59 @cite_47 based on separating the images into content and style layers have shown that by stylizing a noise content image they can effectively synthesize texture @cite_0 . By spatially varying the style layer, texture interpolation may th... | {
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1901.03107 | 2910284584 | In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usually, covered by cameras placed at the stands of the cricket ground at both ends of the cricket pitc... | The problem of action recognition in videos has picked up pace with the onset of deep neural networks @cite_35 @cite_33 @cite_9 @cite_32 @cite_20 @cite_24 . These works modify the architecture of the Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) and train them on the video data. As a result,... | {
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1901.03107 | 2910284584 | In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usually, covered by cameras placed at the stands of the cricket ground at both ends of the cricket pitc... | The tasks of classification, tracking, segmentation and temporal localization are quite inter-dependent and may involve similar approaches and features. In some works, the problem of temporal action localization has also been tackled using an end-to-end learning network @cite_29 @cite_13 . Segmenting the object of inte... | {
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1901.03107 | 2910284584 | In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usually, covered by cameras placed at the stands of the cricket ground at both ends of the cricket pitc... | Some of the above approaches need pre-trained models that can be fine-tuned on their own problem specific datasets, while some other use large benchmark datasets for training purpose. Applying such techniques for a sporting event requires a lot of hand-annotated training data, which is hard to get or may include a lot ... | {
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"Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we provide an extensiv... |
1901.03107 | 2910284584 | In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usually, covered by cameras placed at the stands of the cricket ground at both ends of the cricket pitc... | Coming up with a purely content-based domain specific event extraction for untrimmed cricket telecast videos has not been attempted by many. @cite_14 tried to annotate the videos based by mapping the segments to the text-commentary using dynamic programming alignment, which may not always be available or may be noisy. ... | {
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"The recognition of human activities is one of the key problems in video understanding. Action recognition is challenging even for specific categories of videos, such as sports, that contain only a ... |
1901.03107 | 2910284584 | In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usually, covered by cameras placed at the stands of the cricket ground at both ends of the cricket pitc... | Temporal localization using deep neural networks has been quite successful recently, @cite_34 @cite_2 . Though, there are other works that do not use deep neural nets, such as @cite_17 . They use an unsupervised spectral clustering approach to find similar action types and localizing them. Our approach also does not us... | {
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1901.03136 | 2908935617 | More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given patent... | Most research concerned with facilitating and improving the search for a patent's prior art has focused on automatically composing and extending the search queries. For example, a manually formulated query can be improved by automatically including synonyms for the keywords using a thesaurus @cite_34 @cite_22 @cite_44 ... | {
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1901.03136 | 2908935617 | More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given patent... | Approaches for automatically adapting and extending queries still require the patent examiner to manually formulate the initial search query. To make this step obsolete, heuristics can be used to automatically extract keywords from a given patent application @cite_56 @cite_2 @cite_29 or a (BOW) approach can be used to ... | {
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1901.03136 | 2908935617 | More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given patent... | Calculating the similarity between texts is at the heart of a wide range of information retrieval tasks, such as search engine development, question answering, document clustering, or corpus visualization. Approaches for computing text similarities can be divided into similarity measures relying on word similarities an... | {
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1901.03136 | 2908935617 | More than ever, technical inventions are the symbol of our society's advance. Patents guarantee their creators protection against infringement. For an invention being patentable, its novelty and inventiveness have to be assessed. Therefore, a search for published work that describes similar inventions to a given patent... | Full text similarity measures have previously been used to improve search results for MEDLINE articles, where a two step approach using the cosine similarity measure between vectors in combination with a sentence alignment algorithm yielded superior results compared to the boolean search strategy used by PubMed @cite_1... | {
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1901.02586 | 2910498695 | We study the class of holomorphic and isometric submersions between finite-type Teichm "uller spaces. We prove that, with potential exceptions coming from low-genus phenomena, any such map is a forgetful map @math obtained by filling in punctures. This generalizes a classical result of Royden and Earle-Kra asserting th... | We mention also a result of Antonakoudis-Aramayona-Souto @cite_9 stating that any holomorphic map @math between moduli spaces is forgetful, as long as @math and @math . One can see this is as a parallel of our result, with our metric constraint replaced by an equivariance condition. | {
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1901.02586 | 2910498695 | We study the class of holomorphic and isometric submersions between finite-type Teichm "uller spaces. We prove that, with potential exceptions coming from low-genus phenomena, any such map is a forgetful map @math obtained by filling in punctures. This generalizes a classical result of Royden and Earle-Kra asserting th... | S. Antonakoudis @cite_14 was the first to study isometric submersions in the context of Teichm "uller theory. He proved that there is no holomorphic and Kobayshi-isometric submersion between a finite-dimensional Teichm "uller space and a bounded symmetric domain, provided each is of complex dimension at least two. | {
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1901.02586 | 2910498695 | We study the class of holomorphic and isometric submersions between finite-type Teichm "uller spaces. We prove that, with potential exceptions coming from low-genus phenomena, any such map is a forgetful map @math obtained by filling in punctures. This generalizes a classical result of Royden and Earle-Kra asserting th... | The classification of holomorphic isometric submersions between bounded symmetric domains is an interesting problem. See the paper of Knese @cite_4 for the classification of holomorphic Kobayashi-isometric submersions from the polydisk @math to the disk @math . For Teichm "uller-theoretic applications of this class of ... | {
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1901.02757 | 2909934232 | Various forms of representations may arise in the many layers embedded in deep neural networks (DNNs). Of these, where can we find the most compact representation? We propose to use a pruning framework to answer this question: How compact can each layer be compressed, without losing performance? Most of the existing DN... | Pruning is a simple but efficient method for DNN model compression. cite zhu2017prune showed that making large DNN models sparse by pruning can outperform small-dense DNN models trained from scratch. There are many pruning methods according to the granularity of pruning from weight pruning @cite_4 @cite_19 to channel p... | {
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1901.02645 | 2908984097 | Aggregating extra features of novel modality brings great advantages for building robust pedestrian detector under adverse illumination conditions. However, misaligned imagery still persists in multispectral scenario and will depress the performance of detector in a non-trivial way. In this paper, we first present and ... | As an essential step for various applications ( robotics, autonomous driving, and video surveillance), pedestrian detection has attracted great attention from the computer vision community. Over the years, extensive features and algorithms have been proposed, including both traditional detectors ( ICF @cite_36 , ACF @c... | {
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1901.02645 | 2908984097 | Aggregating extra features of novel modality brings great advantages for building robust pedestrian detector under adverse illumination conditions. However, misaligned imagery still persists in multispectral scenario and will depress the performance of detector in a non-trivial way. In this paper, we first present and ... | Most existing methods are employed under the modality alignment assumption, commonly use fusion strategies ( element-wise summation, concatenation and Network-in-Network @cite_32 ) that directly fuse features of different modalities in the corresponding pixel position. However, the cross-modality disparity problem exte... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Horstein first introduced a problem of this framework for the binary symmetric channel (BSC) @cite_58 , where the message point lies on the @math interval. In this work, Horstein showed that the median of the posterior distribution is a sufficient statistic for the decoder to provide the encoder, for which the subseque... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Shayevitz and Feder introduced the posterior matching scheme for the message point lying on the @math interval in @cite_57 that is applicable to any memoryless channel. It includes the encoding schemes for the BSC and AWGN channel by Horstein and Schalkwijk-Kailath as special cases and provides the first rigorous proof... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Applications and variations of this formulation are manyfold. The Horstein scheme, combined with arithmetic coding of a sequence of symbols in an ordered symbolic alphabet to represent any sequence with enumerative source encoding @cite_56 as a message point on the @math line, has been used for brain-computer interface... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Although the PM scheme maximizes mutual information, in some situations the posterior @math never converges to a point mass at @math , implying that no positive rate is achievable. [Example 11] Shayevitz2011pm shows that the breakdown of reliability or achieving capacity is not solely a property of the channel: for the... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Also, Shayevitz and Feder @cite_6 examined a randomized variant of the PM scheme with a random dither and were able to provide a much simpler proof of optimality over general memoryless channels when @math . That is, as compared to the proofs above which are restricted to non-sequential variants with a fixed number of ... | {
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1901.02523 | 2909636570 | The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of channel uses. However, it in general does not always achieve any positive rate; so far, elaborate analyses have been required to show that ... | Recently, we have considered the case when the message point lies in a higher dimensional space (e.g. @math for some arbitrary @math ) and constructed a feedback encoding scheme using optimal transport theory @cite_19 . Inspired by the time-invariant dynamical systems structure of the original PM scheme (without shared... | {
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1901.02579 | 2909364378 | Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and manufacturing. Previous methods of video-based skill assessment did not consider the ... | A number of previous methods only regards the skill level in a coarse manner: In @cite_18 the level of skill is only split into novice and expert. These works @cite_11 @cite_18 determine skill labels by participants’ previous experience, but not their performance in individual videos. In this work we aim to rank the sk... | {
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1901.02579 | 2909364378 | Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and manufacturing. Previous methods of video-based skill assessment did not consider the ... | Perhaps the most similar work with ours is @cite_28 , in which a two-stream pairwise deep ranking model with a newly designed loss function is used for skill assessment. However, their method is purely bottom up, without using the high-level information related to task or skill to guide the bottom-up feed-forward proce... | {
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1901.02579 | 2909364378 | Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and manufacturing. Previous methods of video-based skill assessment did not consider the ... | Evidence from human perception process shows the importance of attention mechanism @cite_12 , which uses top information to guide bottom-up feed forward process @cite_32 . Recently, tentative efforts have been made towards applying attention into deep neural network for various tasks like image recognition @cite_29 @ci... | {
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1901.02579 | 2909364378 | Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and manufacturing. Previous methods of video-based skill assessment did not consider the ... | In video representation, the majority of works utilize the attention mechanism in action recognition @cite_35 @cite_8 @cite_46 @cite_25 and action localization @cite_43 . In @cite_14 , an end-to-end spatiotemporal attention model is used to recognize action using skeleton data. They use LSTM-like structure and construc... | {
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1901.02579 | 2909364378 | Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important applications in domains such as health rehabilitation and manufacturing. Previous methods of video-based skill assessment did not consider the ... | The most widely used ranking formulation is pairwise ranking. It was originally designed to learn search engine retrieval functions from click-through data, however, it has been adopted in other ranking applications such as relative attributes in images @cite_26 . Ranking aims to minimize the number of incorrectly orde... | {
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1901.02675 | 2911224109 | Do we know what the different filters of a face network represent? Can we use this filter information to train other tasks without transfer learning? For instance, can age, head pose, emotion and other face related tasks be learned from face recognition network without transfer learning? Understanding the role of these... | Other efforts attempt to interpret how individual neurons or groups of neurons work. Notably, the work by Raghu al @cite_23 proposed a method to determine the true dimensionality of a layer and determined that it is much smaller than the number of neurons in that layer. S. Morcos al @cite_16 studied the effect of singl... | {
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1907.05274 | 2960314297 | Autonomous vehicles (AV) have progressed rapidly with the advancements in computer vision algorithms. The deep convolutional neural network as the main contributor to this advancement has boosted the classification accuracy dramatically. However, the discovery of adversarial examples reveals the generalization gap betw... | In @cite_20 , it was shown that simple affine transformations (e.g., rotations) can cause deep CNNs to misclassify images. The images captured by the perception system could experience similar affine distortions during normal driving scenarios when vehicles are passing water puddles (see Fig. 2) or on rural roads. Both... | {
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"Recent work has shown that neural network-based vision classifiers exhibit a significant vulnerability to misclassifications caused by imperceptible but adversarial perturbations of their inputs. These perturbations, however, are ... |
1907.05274 | 2960314297 | Autonomous vehicles (AV) have progressed rapidly with the advancements in computer vision algorithms. The deep convolutional neural network as the main contributor to this advancement has boosted the classification accuracy dramatically. However, the discovery of adversarial examples reveals the generalization gap betw... | GAN @cite_19 has been widely studied and utilized since its invention. It is a generative model which captures high-dimensional data distribution through adversarial process. It can generate images that simulate the training images such as hand written digits, animals, vehicles, etc. Deep Convolutional GAN @cite_24 int... | {
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"abstract": [
"We propose a new framework for estimat... |
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