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TVLSI
2010
15 years 1 months ago
Test Data Compression Using Efficient Bitmask and Dictionary Selection Methods
Abstract--Higher circuit densities in system-on-chip (SOC) designs have led to drastic increase in test data volume. Larger test data size demands not only higher memory requiremen...
Kanad Basu, Prabhat Mishra
TWC
2010
15 years 1 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
AAAI
2011
14 years 6 months ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
CVPR
2005
IEEE
16 years 8 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
ICML
2009
IEEE
16 years 7 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...