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ICDAR
2009
IEEE
14 years 2 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
STOC
2007
ACM
137views Algorithms» more  STOC 2007»
14 years 8 months ago
Testing k-wise and almost k-wise independence
In this work, we consider the problems of testing whether a distribution over {0, 1}n is k-wise (resp. ( , k)-wise) independent using samples drawn from that distribution. For the...
Noga Alon, Alexandr Andoni, Tali Kaufman, Kevin Ma...
CHI
2008
ACM
13 years 10 months ago
Effects of intelligent notification management on users and their tasks
We present a novel system for notification management and report results from two studies testing its performance and impact. The system uses statistical models to realize defer-t...
Shamsi T. Iqbal, Brian P. Bailey
CACM
2011
120views more  CACM 2011»
13 years 3 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...