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ICCV
2003
IEEE
14 years 12 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
CVPR
2010
IEEE
14 years 7 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain
ASPDAC
2006
ACM
119views Hardware» more  ASPDAC 2006»
14 years 4 months ago
A dynamic test compaction procedure for high-quality path delay testing
- We propose a dynamic test compaction procedure to generate high-quality test patterns for path delay faults. While the proposed procedure generates a compact two-pattern test set...
Masayasu Fukunaga, Seiji Kajihara, Xiaoqing Wen, T...
VTS
2005
IEEE
89views Hardware» more  VTS 2005»
14 years 3 months ago
Synthesis of Low Power CED Circuits Based on Parity Codes
An automated design procedure is described for synthesizing circuits with low power concurrent error detection. It is based on pre-synthesis selection of a parity-check code follo...
Shalini Ghosh, Sugato Basu, Nur A. Touba
EMNLP
2004
13 years 11 months ago
Active Learning and the Total Cost of Annotation
Active learning (AL) promises to reduce the cost of annotating labeled datasets for trainable human language technologies. Contrary to expectations, when creating labeled training...
Jason Baldridge, Miles Osborne