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156
Voted
CVPR
2011
IEEE
14 years 11 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
129
Voted
ACCV
2010
Springer
14 years 10 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
165
Voted
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
14 years 10 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
CDC
2010
IEEE
164views Control Systems» more  CDC 2010»
14 years 10 months ago
Accuracy and decision time for a class of sequential decision aggregation rules
Abstract-- This work focuses on decentralized decision making in a population of individuals each implementing the sequential probability ratio test. The individual decisions are c...
Sandra H. Dandach, Ruggero Carli, Francesco Bullo
152
Voted
CDC
2010
IEEE
181views Control Systems» more  CDC 2010»
14 years 10 months ago
Relationship between power loss and network topology in power systems
This paper is concerned with studying how the minimum power loss in a power system is related to its network topology. The existing algorithms in the literature all exploit nonline...
Javad Lavaei, Steven H. Low