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EMNLP
2010
13 years 6 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
ICPR
2010
IEEE
13 years 6 months ago
Local Binary Pattern-Based Features for Text Identification of Web Images
We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multilayer perceptron) classifier trained on LBP (Local binary patterns), wavel...
Insook Jung, Il-Seok Oh
HCI
2009
13 years 6 months ago
The Pluses and Minuses of Obtaining Measurements from Digital Scans
Digital scanners are commonplace and are used in many different applications to obtain three-dimensional shapes and linear and circumferential measurements. Even though scanners ca...
Ravindra S. Goonetilleke, Channa P. Witana, Jianhu...
JMLR
2010
155views more  JMLR 2010»
13 years 3 months ago
Structured Sparse Principal Component Analysis
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
TWC
2010
13 years 3 months ago
On the distribution of instantaneous power in single-carrier signals
Abstract-- This paper studies a statistical distribution of instantaneous power in pulse-shaped single-carrier (SC) modulation. Such knowledge is of significant importance to estim...
Makoto Tanahashi, Hideki Ochiai