A promising direction for recovering the lost information in low-resolut...
Domain-specific SoCs (DSSoCs) are attractive solutions for domains with
...
The current work intends to study the performance of the Hierarchical
Te...
A practical eye authentication (EA) system targeted for edge devices nee...
We study the k-server problem with time-windows. In this problem, each
r...
The vector-balancing problem is a fundamental problem in discrepancy the...
We consider online scheduling to minimize weighted completion time on re...
k-means Clustering requires as input the exact value of k, the number of...
Video transmission applications (e.g., conferencing) are gaining momentu...
Response Surface Methodology (RSM) introduced in the paper (Box Wils...
The Metric k-median problem over a metric space (𝒳, d) is
defined as fol...
We consider the online carpooling problem: given n vertices, a sequence ...
We consider two generalizations of the classical weighted paging problem...
We present new planning and learning algorithms for RAE, the Refinement
...
We study stochastic combinatorial optimization problems where the object...
Bugs are prevalent in software development. To improve software quality,...
We give a 3-pass, polylog-space streaming PTAS for the constrained binar...
We show that the span of Ω(1/ε^4) rows of any matrix
A ⊂R^n × d sampled ...
We generalise the results of Bhattacharya et al. (Journal of Computing
S...
Landmark detection algorithms trained on high resolution images perform
...
In recent years, attention models have been extensively used for person ...
We consider the online problem of scheduling jobs on identical machines,...
We investigate the fine-grained complexity of approximating the classica...
Most optimization problems are notoriously hard. Considerable efforts mu...
We consider the problem of makespan minimization on unrelated machines w...
We consider the online problem of minimizing weighted flow-time on unrel...
In the weighted flow-time problem on a single machine, we are given a se...
Heatmap regression has been used for landmark localization for quite a w...
We consider the bin packing problem in a fully-dynamic setting, where ne...
An Intelligent Personal Agent (IPA) is an agent that has the purpose of
...
Recently, Deep Convolution Networks (DCNNs) have been applied to the tas...
This paper presents regression methods for estimation of head pose from
...
We present an algorithm for extracting key-point descriptors using deep
...
Over many decades, researchers working in object recognition have longed...