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» Broadcasting with Selective Reduction
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ACL
2008
13 years 9 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
TSP
2010
13 years 2 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
NIPS
2008
13 years 9 months ago
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Bandpass filtering, orientation selectivity, and contrast gain control are prominent features of sensory coding at the level of V1 simple cells. While the effect of bandpass filte...
Fabian H. Sinz, Matthias Bethge
ICCAD
2007
IEEE
135views Hardware» more  ICCAD 2007»
14 years 4 months ago
A selective pattern-compression scheme for power and test-data reduction
— This paper proposes a selective pattern-compression scheme to minimize both test power and test data volume during scan-based testing. The proposed scheme will selectively supp...
Chia-Yi Lin, Hung-Ming Chen
TSP
2008
94views more  TSP 2008»
13 years 7 months ago
Cross-Entropy-Based Sign-Selection Algorithms for Peak-to-Average Power Ratio Reduction of OFDM Systems
Sign-selection uses a set of subcarrier signs to reduce the peak-to-average power ratio (PAR) of orthogonal-frequency-division multiplexing (OFDM). However, the computational compl...
Luqing Wang, Chintha Tellambura