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Using human computation in dead-zone based 2D pattern matching

by L G W A Cleophas , B W Watson , K Awid
"... Abstract. This paper examines the application of human computation (HC) to twodimensional image pattern matching. The two main goals of our algorithm are to use turks as the processing units to perform an efficient pattern match attempt on a subsection of an image, and to divide the work using a ve ..."
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version of dead-zone based pattern matching. In this approach, human computation presents an alternative to machine learning by outsourcing computationally difficult work to humans, while the dead-zone search offers an efficient search paradigm open to parallelization-making the combination a powerful

Human Motion Analysis: A Review

by J. K. Aggarwal, Q. Cai - Computer Vision and Image Understanding , 1999
"... Human motion analysis is receiving increasing at-tention from computer vision researchers. This inter-est is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing. T ..."
Abstract - Cited by 414 (10 self) - Add to MetaCart
Human motion analysis is receiving increasing at-tention from computer vision researchers. This inter-est is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man-machine interfaces, content-based image storage and retrieval, and video conferencing

PatternHunter: faster and more sensitive homology search

by Bin Ma, John Tromp, Ming Li - BIOINFORMATICS , 2002
"... Motivation: Genomics and proteomics studies routinely depend on homology searches based on the strategy of finding short seed matches which are then extended. The exploding genomic data growth presents a dilemma for DNA homology search techniques: increasing seed size decreases sensitivity whereas d ..."
Abstract - Cited by 353 (23 self) - Add to MetaCart
decreasing seed size slows down computation. Results: We present a new homology search algorithm "PatternHunter" that uses a novel seed model for increased sensitivity and new hit-processing techniques for significantly increased speed. At Blast levels of sensitivity, PatternHunter is able to find

Face Recognition Under Varying Pose

by David J. Beymer , 1994
"... Researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing human faces for the last 20 years. While some systems, especially template-based ones, have been quite successful on expressionless, frontal views of faces with controlled lighting, not much wo ..."
Abstract - Cited by 167 (2 self) - Add to MetaCart
Researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing human faces for the last 20 years. While some systems, especially template-based ones, have been quite successful on expressionless, frontal views of faces with controlled lighting, not much

Combining minutiae descriptors for fingerprint matching," Pattern Recognition,

by Jianjiang Feng , 2008
"... Abstract A novel minutiae-based fingerprint matching algorithm is proposed. A minutiae matching algorithm has to solve two problems: correspondence and similarity computation. For the correspondence problem, we assign each minutia two descriptors: texture-based and minutiae-based descriptors, and u ..."
Abstract - Cited by 50 (7 self) - Add to MetaCart
, and use an alignment-based greedy matching algorithm to establish the correspondences between minutiae. For the similarity computation, we extract a 17-D feature vector from the matching result, and convert the feature vector into a matching score using support vector classifier. The proposed algorithm

Mathematical/Computational Challenges in Creating Deformable and Probabilistic Atlases of the Human Brain

by Paul Thompson, Dr. Paul Thompson, Michael S. Mega, Arthur W. Toga, Paul Thompson Phd, Paul Thompson Phd, Roger P. Woods, Roger P. Woods Md, Michael S. Mega Md Phd, Michael S. Mega Md Phd, Arthur W. Toga Phd, Arthur W. Toga Phd - Human Brain Mapping , 2000
"... Striking variations in brain structure, especially in the gyral patterns of the human cortex, present fundamental challenges in human brain mapping. Probabilistic brain atlases, which encode information on structural and functional variability in large human populations, are powerful research tools ..."
Abstract - Cited by 91 (20 self) - Add to MetaCart
crisp anatomical image template with highly-resolved structures in their mean spatial location. Specialized approaches are also developed to average cortical topography. Since cortical patterns are altered in a variety of diseases, gyral pattern matching is used to encode the magnitude and principal

Segmentation of Flow Fields using Pattern Matching

by J. Ebling, G. Scheuermann , 2006
"... Due to the amount of data nowadays, automatic detection, classification and visualization of features is necessary for a thorough inspection of flow data sets. Pattern matching using vector valued templates has already been applied successfully for the detection of features. In this paper, the appro ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Due to the amount of data nowadays, automatic detection, classification and visualization of features is necessary for a thorough inspection of flow data sets. Pattern matching using vector valued templates has already been applied successfully for the detection of features. In this paper

3D shape matching with 3D shape contexts

by Marcel Körtgen, Marcin Novotni, Reinhard Klein - In The 7th Central European Seminar on Computer Graphics , 2003
"... Content based 3D shape retrieval for broad domains like the World Wide Web has recently gained considerable attention in Computer Graphics community. One of the main challenges in this context is the mapping of 3D objects into compact canonical representations referred to as descriptors or feature v ..."
Abstract - Cited by 72 (2 self) - Add to MetaCart
to the human notion of resemblance. In this paper we introduce an enhanced 3D approach of the recently introduced 2D Shape Contexts that can be used for measuring 3d shape similarity as fast, intuitive and powerful similarity model for 3D objects. The Shape Context at a point captures the distribution over

Person Identification Technique Using Human Iris Recognition

by Christel- Loc Tisse, Lionel Martin, Lionel Torres, Michel Robert - Proc. of Vision Interface , 2002
"... The biometric person authentication technique based on the pattern of the human iris is well suited to be applied to any access control system requiring a high level of security. This paper examines a new iris recognition system that implements (i) gradient decomposed Hough transform / integro-diff ..."
Abstract - Cited by 78 (1 self) - Add to MetaCart
The biometric person authentication technique based on the pattern of the human iris is well suited to be applied to any access control system requiring a high level of security. This paper examines a new iris recognition system that implements (i) gradient decomposed Hough transform / integro

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O'hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
matching the performance of earlier VC vintages. Whatever the reason, to capture the pronounced time pattern evident in C. Company-level Performance Measures Data limitations prevent us from computing company-level rates of return: The Venture Economics database does not include details on the fraction
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