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» Challenges in Evaluating Distributed Algorithms
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COLT
2007
Springer
15 years 11 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
CVPR
2009
IEEE
17 years 2 days ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...
STOC
2002
ACM
130views Algorithms» more  STOC 2002»
16 years 5 months ago
Secure multi-party quantum computation
Secure multi-party computing, also called secure function evaluation, has been extensively studied in classical cryptography. We consider the extension of this task to computation...
Claude Crépeau, Daniel Gottesman, Adam Smit...
ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
16 years 10 months ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
CVPR
2007
IEEE
16 years 7 months ago
Detecting Specular Surfaces on Natural Images
Recognizing and localizing specular (or mirror-like) surfaces from a single image is a great challenge to computer vision. Unlike other materials, the appearance of a specular sur...
Andrey DelPozo, Silvio Savarese