text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
any relabeling Interestingly, under spectrum invariant this of nodes. is the graph | Interestingly, this spectrum is invariant under any relabeling of the graph nodes. | 2,200 |
problems is Real-time vision. of core detection the one in object computer | Real-time object detection is one of the core problems in computer vision. | 2,201 |
algorithms We develop address boosting asymmetric new learning problem. this to | We develop new boosting algorithms to address this asymmetric learning problem. | 2,202 |
objectives loss explicitly optimize that fashion. show our asymmetric a in methods corrective We totally | We show that our methods explicitly optimize asymmetric loss objectives in a totally corrective fashion. | 2,203 |
the the boosting the column At generation technique. of corrective heart totally is | At the heart of the totally corrective boosting is the column generation technique. | 2,204 |
asymmetric on outperform the methods. state-of-the-art our show boosting Experiments that detection methods face | Experiments on face detection show that our methods outperform the state-of-the-art asymmetric boosting methods. | 2,205 |
reduction of selection. diversity A describes the positive due selective strong sweep to | A selective sweep describes the reduction of diversity due to strong positive selection. | 2,206 |
which very task instability best. This of method hard the establishing objectively makes performs | This instability makes objectively very hard the task of establishing which method performs best. | 2,207 |
In these infinitely many have solutions. general, systems | In general, these systems have infinitely many solutions. | 2,208 |
However, shown be that may sparse uniquely. it sufficiently solutions be may identified | However, it may be shown that sufficiently sparse solutions may be identified uniquely. | 2,209 |
computational drawback of complexity. their is of current finding The methods solutions main sparse | The main drawback of current methods of finding sparse solutions is their computational complexity. | 2,210 |
observed. texture, can be many this In drawings (geoglyphs) | In this texture, many drawings (geoglyphs) can be observed. | 2,211 |
Layout. propose Finally, Keyboard Bangla a we | Finally, we propose a Bangla Keyboard Layout. | 2,212 |
in discuss arise from areas. also that might applications other We our work these | We also discuss other applications that might arise from our work in these areas. | 2,213 |
subserves exploration. pathway while exploitation the pathway direct the subserves Thus indirect | Thus the direct pathway subserves exploitation while the indirect pathway subserves exploration. | 2,214 |
variability with show diminishing Reaching trajectories training. | Reaching trajectories show diminishing variability with training. | 2,215 |
echoes that disease. model is PD notion the dynamical a The | The model echoes the notion that PD is a dynamical disease. | 2,216 |
mesh nonlinear with of deals for improvement based paper diffusion This vertex denoising. an | This paper deals with an improvement of vertex based nonlinear diffusion for mesh denoising. | 2,217 |
we use of metrics. these methods To filtering, evaluate error two | To evaluate these methods of filtering, we use two error metrics. | 2,218 |
normals. the the is on the vertices on based and second first The is based | The first is based on the vertices and the second is based on the normals. | 2,219 |
Experimental with of the in our the method demonstrate effectiveness methods. proposed comparison existing results | Experimental results demonstrate the effectiveness of our proposed method in comparison with the existing methods. | 2,220 |
Many the algorithms approximate search for neighbor into data partition high-dimensional in clusters. spaces nearest | Many algorithms for approximate nearest neighbor search in high-dimensional spaces partition the data into clusters. | 2,221 |
it the are several well-known $k$-means approach often properties. desirable has since by Clusters produced | Clusters are often produced by the well-known $k$-means approach since it has several desirable properties. | 2,222 |
it produce quite having clusters tends On to the cardinalities. different downside, | On the downside, it tends to produce clusters having quite different cardinalities. | 2,223 |
times. clusters and impact Imbalanced both the response expectation query the negatively of variance | Imbalanced clusters negatively impact both the variance and the expectation of query response times. | 2,224 |
features proposed We demonstrate compared yield performance improvement our to Haar-like features. that a | We demonstrate that our proposed features yield a performance improvement compared to Haar-like features. | 2,225 |
methods. to two and problems We on compare method the empirically it specific other illustrate | We illustrate the method on two specific problems and empirically compare it to other methods. | 2,226 |
C-SVM, several has Compared performance on GS-SVM data better sets. with | Compared with C-SVM, GS-SVM has better performance on several data sets. | 2,227 |
the of with better effectiveness results several on show proposed the approach Experimental data performance. | Experimental results on several data show the effectiveness of the proposed approach with better performance. | 2,228 |
Probabilities the canonical to map by the the RKHS. are uniquely mean of characterized | Probabilities are uniquely characterized by the mean of the canonical map to the RKHS. | 2,229 |
an of likewise posterior The RKHS a sample. mean is weighted | The posterior is likewise an RKHS mean of a weighted sample. | 2,230 |
trees. following simulation a In the we stochastic consider for technique paper | In the following paper we consider a simulation technique for stochastic trees. | 2,231 |
typically (SMC) consists sequential techniques. Monte sampling (IS) This and importance of using Carlo | This typically consists of using importance sampling (IS) and sequential Monte Carlo (SMC) techniques. | 2,232 |
bias is of view. point a investigated from The theoretical | The bias is investigated from a theoretical point of view. | 2,233 |
proposed on effectiveness with several data performance. approach of show the better results the Experimental | Experimental results on several data show the effectiveness of the proposed approach with better performance. | 2,234 |
a two-dimensional input image wavelet. two-dimensional is analyzed wavelet stationary and by The | The input image is analyzed by two-dimensional wavelet and a two-dimensional stationary wavelet. | 2,235 |
vectors an dimension input PCA. the applied of reduce effective using We to procedure the | We applied an effective procedure to reduce the dimension of the input vectors using PCA. | 2,236 |
regulatory components. are circuits combining circuit gene synthetic by constructed often In biology, smaller | In synthetic biology, gene regulatory circuits are often constructed by combining smaller circuit components. | 2,237 |
are achieved Connections transcription promoters. on between components acting factors by | Connections between components are achieved by transcription factors acting on promoters. | 2,238 |
one investigate conditions: this interface In fan-out. we the paper, of | In this paper, we investigate one of the interface conditions: fan-out. | 2,239 |
the fan-out enhanced on output. self-inhibitory be We can the also regulation by show that | We also show that the fan-out can be enhanced by self-inhibitory regulation on the output. | 2,240 |
such Non-genetic noise, novel induce developmental perturbations, environmental can change as or phenotypes. | Non-genetic perturbations, such as environmental change or developmental noise, can induce novel phenotypes. | 2,241 |
an selection induced If promote advantage, phenotype may a fitness stabilization. confers genetic its | If an induced phenotype confers a fitness advantage, selection may promote its genetic stabilization. | 2,242 |
initiate Non-genetic evolutionary innovation. perturbations thus can | Non-genetic perturbations can thus initiate evolutionary innovation. | 2,243 |
phenotypes. perturbations, new a variation can source become non-genetic After of this | After non-genetic perturbations, this variation can become a source of new phenotypes. | 2,244 |
model well-studied regulation To transcriptional of use we end, this a circuits. | To this end, we use a well-studied model of transcriptional regulation circuits. | 2,245 |
important innovations. evolutionary Such in circuits are many | Such circuits are important in many evolutionary innovations. | 2,246 |
= and are where N xn ai pn integers. N | xn pn = N where ai and N are integers. | 2,247 |
very segmentation analysis area. topic image research Image active a in been has | Image segmentation has been a very active research topic in image analysis area. | 2,248 |
intuition pattern. However, this does always not human follow visual | However, human visual intuition does not always follow this pattern. | 2,249 |
in technique bioinformatics tools. various vaccine analyzed potential be The candidates silico should using | The potential vaccine candidates should be analyzed in silico technique using various bioinformatics tools. | 2,250 |
toxic invading and a system immune pathogens products. recognizes myriad The their of | The immune system recognizes a myriad of invading pathogens and their toxic products. | 2,251 |
repertoire and receptors. so It T cell a finite antibodies of does with | It does so with a finite repertoire of antibodies and T cell receptors. | 2,252 |
that here system We immune dynamics. theories the quantify describe | We here describe theories that quantify the immune system dynamics. | 2,253 |
invariant and the translation demonstrated pursuit . is Matching in K-SVD setting | Matching pursuit and K-SVD is demonstrated in the translation invariant setting . | 2,254 |
in statistics This processing. problem machine learning, signal relevant and is | This problem is relevant in machine learning, statistics and signal processing. | 2,255 |
regulated of osteoclasts. controlling is osteoblasts by and Bone remodeling pathways interplay the | Bone remodeling is regulated by pathways controlling the interplay of osteoblasts and osteoclasts. | 2,256 |
and have interaction been recently, considered. dispersal More spatial also | More recently, spatial interaction and dispersal have also been considered. | 2,257 |
of has expectations helped our molecular patterns shape variation. formula empirical of This | This formula has helped shape our expectations of empirical patterns of molecular variation. | 2,258 |
the null theory, with model Along statistical it rejecting neutrality. provides for coalescent of techniques | Along with coalescent theory, it provides statistical techniques for rejecting the null model of neutrality. | 2,259 |
to well and the compare it method "all-pairs" We test known decomposition. our | We test our method and compare it to the well known "all-pairs" decomposition. | 2,260 |
new authors. tests using authorship are machine performed test learning Our a of benchmark determination | Our tests are performed using a new authorship determination benchmark test of machine learning authors. | 2,261 |
we approach modeling. a Here introduction generalized to pedagogical the present of | Here we present a pedagogical introduction to the approach of generalized modeling. | 2,262 |
generalized of places emphasis This concepts the introduction more previous modeling than underlying publications. on | This introduction places more emphasis on the underlying concepts of generalized modeling than previous publications. | 2,263 |
game theory. into it has evolutionary introduced Recently been | Recently it has been introduced into evolutionary game theory. | 2,264 |
evolutionary processes? universal for those selection microscopic How is weak | How universal is weak selection for those microscopic evolutionary processes? | 2,265 |
find selection of the allow intensity. We which expansions, order rescaling higher a universal | We find universal higher order expansions, which allow a rescaling of the selection intensity. | 2,266 |
But including all what human is source heuristics? of the knowledge, | But what is the source of all human knowledge, including heuristics? | 2,267 |
that results is experimental acquisition report pleasing. of showing knowledge emotionally We | We report experimental results showing that acquisition of knowledge is emotionally pleasing. | 2,268 |
knowledge satisfaction brings of through curiosity acquiring The pleasure. | The satisfaction of curiosity through acquiring knowledge brings pleasure. | 2,269 |
as immunity pathogens use Several host. against the strategy evolvability survival a acquired of | Several pathogens use evolvability as a survival strategy against acquired immunity of the host. | 2,270 |
forces paper analyzes the us driving both. to This cognitive achieve | This paper analyzes the cognitive forces driving us to achieve both. | 2,271 |
soon able a possibly, psychological in And laboratory. measure to may we them be | And possibly, we may soon be able to measure them in a psychological laboratory. | 2,272 |
challenge: overcome long-standing analysis another has reductionism. scientific new This | This new scientific analysis has overcome another long-standing challenge: reductionism. | 2,273 |
by integrator In this perfect input. consider note the we Poisson process driven | In this note we consider the perfect integrator driven by Poisson process input. | 2,274 |
of associated from induced with We the study divergences. quasi-Newton viewpoint Bregman information methods geometry | We study quasi-Newton methods from the viewpoint of information geometry induced associated with Bregman divergences. | 2,275 |
methods. update of class quasi-Newton to The formulae self-scaling belong a proposed | The proposed update formulae belong to a class of self-scaling quasi-Newton methods. | 2,276 |
robust statistics. from the conducted the verify to of Numerical studies tools usefulness borrowed are | Numerical studies are conducted to verify the usefulness of the tools borrowed from robust statistics. | 2,277 |
of key (TFs) are gene factors expression. Transcription regulators | Transcription factors (TFs) are key regulators of gene expression. | 2,278 |
proposed regret, and generalization method. bounds for convergence, show the We | We show regret, convergence, and generalization bounds for the proposed method. | 2,279 |
recognition Experiments on testify successfulness and dependency handwriting the approach. the parsing for of | Experiments on handwriting recognition and dependency parsing testify for the successfulness of the approach. | 2,280 |
condensed a larger in progress. of paper a This version work is | This paper is a condensed version of a larger work in progress. | 2,281 |
they that are entries However, of the require observation the all matrix known. | However, they require that all the entries of the observation matrix are known. | 2,282 |
view. unlikely due happen practice, is to to field of This and limited in self-occlusion | This is unlikely to happen in practice, due to self-occlusion and limited field of view. | 2,283 |
often Also, later. long regions appear occluded that when videos, again become processing | Also, when processing long videos, regions that become occluded often appear again later. | 2,284 |
and videos illustrate artificial the with our method. real Experiments of good performance | Experiments with artificial and real videos illustrate the good performance of our method. | 2,285 |
CS. of The smaller is significantly also than conventional probability failure that | The failure probability is also significantly smaller than that of conventional CS. | 2,286 |
either sets or fuzzy S-norm T-norm. defined operators fuzzy as must serve All for fuzzy | All operators defined for fuzzy sets must serve as either fuzzy S-norm or fuzzy T-norm. | 2,287 |
satisfy Second, each Demorgans other they so complement they law, perfectly. | Second, they satisfy Demorgans law, so they complement each other perfectly. | 2,288 |
These and via Geometry logic. are investigated Mathematics, fuzzy viewpoints: operators three | These operators are investigated via three viewpoints: Mathematics, Geometry and fuzzy logic. | 2,289 |
by the membrane driven in forces. we study can Here, be composition how variations fluctuating | Here, we study how variations in the membrane composition can be driven by fluctuating forces. | 2,290 |
grey-level can this how applied we be normalize method Finally, discuss to images. further | Finally, we discuss how this method can further be applied to normalize grey-level images. | 2,291 |
a is in Wiselib, generic implemented sensor networks. of library algorithms for protocol The | The protocol is implemented in Wiselib, a library of generic algorithms for sensor networks. | 2,292 |
Shawn. simulator conducted Simulations with are network sensor the | Simulations are conducted with the sensor network simulator Shawn. | 2,293 |
as of based known real iSense They specifications nodes. the are hardware sensor on | They are based on the specifications of real hardware known as iSense sensor nodes. | 2,294 |
it against very robust is is the loss. Moreover, system packet shown that | Moreover, it is shown that the system is very robust against packet loss. | 2,295 |
the grounded describe brain. mathematical symbols in models We a of | We describe a mathematical models of grounded symbols in the brain. | 2,296 |
System also as Perceptual foundations It serves (PSS). computational a Symbol for | It also serves as a computational foundations for Perceptual Symbol System (PSS). | 2,297 |
The DL, a new theory, is process-logic. mathematical | The new mathematical theory, DL, is a process-logic. | 2,298 |
property into crisp. of evolution process vague this representations A salient of is | A salient property of this process is evolution of vague representations into crisp. | 2,299 |
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