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221
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ECCV
2004
Springer
16 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
182
Voted
ICIP
2004
IEEE
16 years 8 months ago
Robust perceptual image hashing via matrix invariants
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
CVPR
2010
IEEE
16 years 3 months ago
The chains model for detecting parts by their context
Detecting an object part relies on two sources of information - the appearance of the part itself, and the context supplied by surrounding parts. In this paper we consider problem...
Leonid Karlinsky, Michael Dinerstein, Daniel Harar...
195
Voted
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
16 years 1 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
208
Voted
IROS
2009
IEEE
214views Robotics» more  IROS 2009»
16 years 1 months ago
1-point RANSAC for EKF-based Structure from Motion
Abstract— Recently, classical pairwise Structure From Motion (SfM) techniques have been combined with non-linear global optimization (Bundle Adjustment, BA) over a sliding window...
Javier Civera, Oscar G. Grasa, Andrew J. Davison, ...