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06/27/2023
Effective resistance in metric spaces
Effective resistance (ER) is an attractive way to interrogate the struct...
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03/05/2023
Active learning using region-based sampling
We present a general-purpose active learning scheme for data in metric s...
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02/28/2022
Structure from Voltage
Effective resistance (ER) is an attractive way to interrogate the struct...
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08/23/2021
StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm
Kernel ridge regression (KRR) is a popular scheme for non-linear non-par...
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06/20/2021
Optimal Strategies for Decision Theoretic Online Learning
We extend the drifting games analysis to continuous time and show that t...
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03/02/2021
Audio scene monitoring using redundant un-localized microphone arrays
We present a system for localizing sound sources in a room with several ...
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07/15/2020
Experimental Design for Bathymetry Editing
We describe an application of machine learning to a real-world computer ...
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05/29/2019
An adaptive nearest neighbor rule for classification
We introduce a variant of the k-nearest neighbor classifier in which k i...
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01/25/2019
Faster Boosting with Smaller Memory
The two state-of-the-art implementations of boosted trees: XGBoost and L...
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05/19/2018
Tell Me Something New: a new framework for asynchronous parallel learning
We present a novel approach for parallel computation in the context of m...
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03/09/2018
Robust Landmark Detection for Alignment of Mouse Brain Section Images
Brightfield and fluorescent imaging of whole brain sections are funda- m...
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02/28/2017
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors
While modern imaging technologies such as fMRI have opened exciting new ...
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05/28/2016
Muffled Semi-Supervised Learning
We explore a novel approach to semi-supervised learning. This approach i...
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10/01/2015
Optimal Binary Classifier Aggregation for General Losses
We address the problem of aggregating an ensemble of predictors with kno...
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03/05/2015
Optimally Combining Classifiers Using Unlabeled Data
We develop a worst-case analysis of aggregation of classifier ensembles ...
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01/15/2015
PAC-Bayes with Minimax for Confidence-Rated Transduction
We consider using an ensemble of binary classifiers for transductive pre...
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01/15/2015
The Fast Convergence of Incremental PCA
We consider a situation in which we see samples in R^d drawn i.i.d. from...
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09/09/2014
Co-adaptation in a Handwriting Recognition System
Handwriting is a natural and versatile method for human-computer interac...
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03/15/2012
An Online Learning-based Framework for Tracking
We study the tracking problem, namely, estimating the hidden state of an...
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03/22/2010
Towards automated high-throughput screening of C. elegans on agar
High-throughput screening (HTS) using model organisms is a promising met...
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03/02/2010
Particle Filtering on the Audio Localization Manifold
We present a novel particle filtering algorithm for tracking a moving so...
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04/21/2009
A method for Hedging in continuous time
We present a method for hedging in continuous time....
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03/16/2009
Tracking using explanation-based modeling
We study the tracking problem, namely, estimating the hidden state of an...
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05/09/2008