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» Learning Object Representations Using Sequential Patterns
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ICAPR
2009
Springer
13 years 5 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...

Book
640views
15 years 6 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
SSPR
2000
Springer
13 years 11 months ago
Lossless Compression of Surfaces Described as Points
In many applications, objects are represented by a collection of unorganized points that scan the surface of the object. In such cases, an efficient way of storing this information...
Juan Ramón Rico-Juan, Jorge Calera-Rubio, R...
IPPS
2005
IEEE
14 years 1 months ago
A Case Study on Pattern-Based Systems for High Performance Computational Biology
Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
Weiguo Liu, Bertil Schmidt
ICASSP
2010
IEEE
13 years 7 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass