1 code implementation • ICLR 2021 • Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf
We evaluate over CATER dataset and find that Hopper achieves 73. 2% Top-1 accuracy using just 1 FPS by hopping through just a few critical frames.
Ranked #5 on Video Object Tracking on CATER
no code implementations • 1 May 2020 • Shuchu Han, Alexandru Niculescu-Mizil
We introduce supervised feature ranking and feature subset selection algorithms for multivariate time series (MTS) classification.
no code implementations • NeurIPS 2017 • Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep K. Ravikumar
We revisit the classical analysis of generative vs discriminative models for general exponential families, and high-dimensional settings.
no code implementations • 9 Jul 2013 • Diane Oyen, Alexandru Niculescu-Mizil, Rachel Ostroff, Alex Stewart, Vincent P. Clark
We then show that by imposing a bias towards learning similar dependency networks for each condition the false discovery rates can be reduced to acceptable levels, at the cost of finding a reduced number of differences.
no code implementations • NeurIPS 2012 • Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil
A challenging problem in hierarchical classification is to leverage the hierarchical relations among classes for improving classification performance.