SILO



The weekly SILO Seminar Series is made possible through the generous support of the 3M Company and its Advanced Technology Group

3M

with additional support from the Analytics Group of the Northwestern Mutual Life Insurance Company

Northwestern Mutual

and The Role of Hierarchical Group Sparsity in Semantic Learning of Images

Gautam Dasarathy and Aniruddha Bhargava,

Date and Time: Feb 05, 2014 (12:30 PM)
Location: Orchard room (3280) at the Wisconsin Institute for Discovery Building

Abstract:

Speaker 1: Gautam Dasarathy

Speaker 2: Aniruddha Bhargava
As computer vision algorithms have become more and more sophisticated in the task of object detection, semantic learning remains a harder goal to achieve. Let us assume that a good object detection/feature extraction algorithm is given, how does one build on that information to gain context about the semantic label of the scene? This talk will first briefly go through current methods used in solving semantic learning of images. I will then talk about our approach and present some early results.