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» Minimization of an M-convex Function
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AAAI
2007
15 years 8 months ago
Semi-Supervised Learning by Mixed Label Propagation
Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency bet...
Wei Tong, Rong Jin
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 7 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
IPCO
2010
148views Optimization» more  IPCO 2010»
15 years 7 months ago
Prize-Collecting Steiner Network Problems
In the Steiner Network problem we are given a graph with edge-costs and connectivity requirements between node pairs , . The goal is to find a minimum-cost subgraph of that contain...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
15 years 7 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
SPIESR
1997
97views Database» more  SPIESR 1997»
15 years 7 months ago
Multiscale Branch-and-Bound Image Database Search
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
Jau-Yuen Chen, Charles A. Bouman, Jan P. Allebach