113 citations · 328 across the 16 of their papers we have counts for
6 papers · 1 filter
A Category Space Approach to Supervised Dimensionality Reduction
Anthony O. Smith, Anand Rangarajan
Supervised dimensionality reduction has emerged as an important theme in the last decade. Despite the plethora of models and formulations, there is a lack of a simple model which a…
A Compositional Approach to Language Modeling
Kushal Arora, Anand Rangarajan
Traditional language models treat language as a finite state automaton on a probability space over words. This is a very strong assumption when modeling something inherently comple…
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines
Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge +2
In this study, a machine learning algorithm is used for disaggregation of SMAP brightness temperatures (T) from 36km to 9km. It uses image segmentation to cluster th…
A Grassmannian Graph Approach to Affine Invariant Feature Matching
Mark Moyou, John Corring, Adrian Peter +1
In this work, we present a novel and practical approach to address one of the longstanding problems in computer vision: 2D and 3D affine invariant feature matching. Our Grassmannia…
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning
Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni +2
A novel algorithm is developed to downscale soil moisture (SM), obtained at satellite scales of 10-40 km by utilizing its temporal correlations to historical auxiliary data at fine…
Contrastive Entropy: A new evaluation metric for unnormalized language models
Kushal Arora, Anand Rangarajan
Perplexity (per word) is the most widely used metric for evaluating language models. Despite this, there has been no dearth of criticism for this metric. Most of these criticisms c…