Search Results for author: Deepti Pachauri

Found 3 papers, 0 papers with code

Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision

no code implementations NeurIPS 2014 Deepti Pachauri, Risi Kondor, Gautam Sargur, Vikas Singh

Consistently matching keypoints across images, and the related problem of finding clusters of nearby images, are critical components of various tasks in Computer Vision, including Structure from Motion (SfM).

Solving the multi-way matching problem by permutation synchronization

no code implementations NeurIPS 2013 Deepti Pachauri, Risi Kondor, Vikas Singh

The problem of matching not just two, but m different sets of objects to each other arises in a variety of contexts, including finding the correspondence between feature points across multiple images in computer vision.

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination

no code implementations NeurIPS 2012 Won H. Kim, Deepti Pachauri, Charles Hatt, Moo. K. Chung, Sterling Johnson, Vikas Singh

In contrast to hypothesis tests on point-wise measurements, in this paper, we make the case for performing statistical analysis on multi-scale shape descriptors that characterize the local topological context of the signal around each surface vertex.

Two-sample testing

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