
Integrating Acting, Planning and Learning in Hierarchical Operational Models
We present new planning and learning algorithms for RAE, the Refinement ...
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Landmark Detection in Low Resolution Faces with SemiSupervised Learning
Landmark detection algorithms trained on high resolution images perform ...
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Intelligent Personal Assistant with Knowledge Navigation
An Intelligent Personal Agent (IPA) is an agent that has the purpose of ...
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A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection
Recently, Deep Convolution Networks (DCNNs) have been applied to the tas...
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Head Pose Estimation of Occluded Faces using Regularized Regression
This paper presents regression methods for estimation of head pose from ...
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Face Alignment by Local Deep Descriptor Regression
We present an algorithm for extracting keypoint descriptors using deep ...
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Towards the Design of an EndtoEnd Automated System for Image and Videobased Recognition
Over many decades, researchers working in object recognition have longed...
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FullyDynamic Bin Packing with Limited Repacking
We consider the bin packing problem in a fullydynamic setting, where ne...
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Constant Factor Approximation Algorithm for Weighted Flow Time on a Single Machine in Pseudopolynomial time
In the weighted flowtime problem on a single machine, we are given a se...
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Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment
Heatmap regression has been used for landmark localization for quite a w...
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NonPreemptive FlowTime Minimization via Rejections
We consider the online problem of minimizing weighted flowtime on unrel...
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A Dual Path ModelWith Adaptive Attention For Vehicle ReIdentification
In recent years, attention models have been extensively used for person ...
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Stochastic Load Balancing on Unrelated Machines
We consider the problem of makespan minimization on unrelated machines w...
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Reoptimization of Path Vertex Cover Problem
Most optimization problems are notoriously hard. Considerable efforts mu...
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Tight FPT Approximations for kMedian and kMeans
We investigate the finegrained complexity of approximating the classica...
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Nonclairvoyant Precedence Constrained Scheduling
We consider the online problem of scheduling jobs on identical machines,...
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Multiplicative Rank1 Approximation using LengthSquared Sampling
We show that the span of Ω(1/ε^4) rows of any matrix A ⊂R^n × d sampled ...
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Streaming PTAS for Constrained kMeans
We generalise the results of Bhattacharya et al. (Journal of Computing S...
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Streaming PTAS for Binary ℓ_0Low Rank Approximation
We give a 3pass, polylogspace streaming PTAS for the constrained binar...
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Advaita: Bug Duplicity Detection System
Bugs are prevalent in software development. To improve software quality,...
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Stochastic Makespan Minimization in Structured Set Systems
We study stochastic combinatorial optimization problems where the object...
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Caching with Time Windows and Delays
We consider two generalizations of the classical weighted paging problem...
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Amit Kumar
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