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NIPS
2008
13 years 10 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
SOCC
2008
IEEE
170views Education» more  SOCC 2008»
14 years 2 months ago
A higher-order mismatch-shaping method for multi-bit Sigma-Delta Modulators
—Mismatch-shaping Dynamic Element Matching (DEM) methods are extensively used in multi-bit Sigma-Delta Modulators (SDM) to reduce the effects of element mismatches. To date, only...
Alexander Lavzin, Mücahit Kozak, Eby G. Fried...
CVPR
2008
IEEE
14 years 10 months ago
Visual Synset: Towards a higher-level visual representation
We present a higher-level visual representation, visual synset, for object categorization. The visual synset improves the traditional bag of words representation with better discr...
Yantao Zheng, Ming Zhao 0003, Shi-Yong Neo, Tat-Se...
TSP
2008
103views more  TSP 2008»
13 years 8 months ago
Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...
Jun Fang, Hongbin Li
DATE
2008
IEEE
82views Hardware» more  DATE 2008»
14 years 3 months ago
A Triple-Mode Reconfigurable Sigma-Delta Modulator for Multi-Standard Wireless Applications
This paper presents the implementation and experimental characterization of a reconfigurable ΣΔ modulator intended for multi-mode wireless receivers that is capable to perform t...
Alonso Morgado, Rocio del Río, José ...