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ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
CVPR
2006
IEEE
16 years 8 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
177
Voted
ICPR
2006
IEEE
16 years 7 months ago
Finding Text in Natural Scenes by Figure-Ground Segmentation
Much past research on finding text in natural scenes uses bottom-up grouping processes to detect candidate text features as a first processing step. While such grouping procedures...
Huiying Shen, James Coughlan
DAC
2002
ACM
16 years 7 months ago
A flexible accelerator for layer 7 networking applications
In this paper, we present a flexible accelerator designed for networking applications. The accelerator can be utilized efficiently by a variety of Network Processor designs. Most ...
Gokhan Memik, William H. Mangione-Smith
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 7 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek