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ECCV
2006
Springer
14 years 10 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
WWW
2010
ACM
14 years 3 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
CVPR
2012
IEEE
11 years 11 months ago
View invariant human action recognition using histograms of 3D joints
In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D sk...
Lu Xia, Chia-Chih Chen, J. K. Aggarwal
ICIP
2007
IEEE
14 years 10 months ago
An Adaptive Multiresolution Approach to Fingerprint Recognition
We propose an adaptive multiresolution (MR) approach to the classification of fingerprint images. The system adds MR decomposition in front of a generic classifier consisting of f...
Aliaksei Sandryhaila, Amina Chebira, Charles Jacks...
EICS
2010
ACM
14 years 1 months ago
Digisketch: taming anoto technology on LCDs
The Anoto technology uses a non-repetitive pattern printed on paper to enable a camera-equipped pen to locate its absolute position on that pattern. This technology is also used o...
Ramon Linus Hofer, Andreas Kunz