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Vipin Kumar

Researcher at University of Minnesota

Publications -  678
Citations -  67181

Vipin Kumar is an academic researcher from University of Minnesota. The author has contributed to research in topics: Parallel algorithm & Computer science. The author has an hindex of 95, co-authored 614 publications receiving 59034 citations. Previous affiliations of Vipin Kumar include University of Maryland, College Park & United States Department of the Army.

Papers
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Book ChapterDOI

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.

TL;DR: A novel neural network algorithm is proposed to learn discriminative patterns from the entire length of the time series, and use them as predictive features to identify the class of interest.
Proceedings ArticleDOI

Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances

Anuj Karpatne, +1 more
TL;DR: The Adaptive Heterogeneous Ensemble Learning (AHEL) algorithm is presented, which constructs an ensemble of classifiers in accordance with the multi-modality within the classes, and further assigns adaptive weights to classifiers based on their relevance in the context of a test scenario.
Proceedings ArticleDOI

Analyzing performance of large scale parallel systems

TL;DR: The authors study the impact of parallel processing overhead and the degree of concurrency of a parallel algorithm on the optimal number of processors to be used when the criterion for optimality is minimizing the parallel execution time and evaluate a more general criterion of optimality.