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» Analysis of Handwriting Individuality Using Word Features
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INTERSPEECH
2010
14 years 10 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
PSIVT
2009
Springer
252views Multimedia» more  PSIVT 2009»
15 years 7 months ago
Moving Object Segmentation Using Optical Flow and Depth Information
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object dete...
Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andre...
117
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ICPR
2004
IEEE
16 years 4 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
ICASSP
2010
IEEE
15 years 3 months ago
Privacy and security of features extracted from minutiae aggregates
This paper describes our recent analysis on the security and privacy of biometric feature vectors obtained from fingerprint minutiae. A large number of contiguous regions (cuboid...
Abhishek Nagar, Shantanu Rane, Anthony Vetro
ASAP
1996
IEEE
96views Hardware» more  ASAP 1996»
15 years 7 months ago
Kestrel: A Programmable Array for Sequence Analysis
Kestrel is a programmable linear array processor designed for sequence analysis. Among other features, Kestrel includes an 8-bit word, a single-cycle add-and-minimize instruction, ...
Jeffrey D. Hirschberg, Richard Hughey, Kevin Karpl...