Results 1  10
of
2,040,074
The Nature of Statistical Learning Theory
, 1999
"... Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based on the deve ..."
Abstract

Cited by 12976 (32 self)
 Add to MetaCart
Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based
Statisticalbased Approach to Word Segmentation
 In 15th International Conference on Pattern Recognition, ICPR2000
"... This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based. An i ..."
Abstract

Cited by 13 (2 self)
 Add to MetaCart
This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based
Statisticalbased Approach to Word Segmentation
"... This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based. An i ..."
Abstract
 Add to MetaCart
This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based
Statisticalbased Approach to Word Segmentation
"... This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based. An i ..."
Abstract
 Add to MetaCart
This paper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document and partitions the glyphs into a set of text words, using only the geometric information of the input glyphs. The algorithm is probability based
A Statistics Based Approach for
"... The present trend is to build large distributed systems comprising of high speed networks and high performance heterogeneous workstations. As more complex distributed systems are built, the traditional tools used to manage computer systems become inadequate. In the search for effective tools for the ..."
Abstract
 Add to MetaCart
for the management of current distributed systems, several different approaches have been proposed and some have been implemented as prototypes. Here a general approach is presented where a multivariate statistics based mechanism is used as the core strategy for reducing the large amount of data collected from
StatisticalBased Approaches for NonSegmenting Languages
"... We have been studying several approaches to cope with the exceptional features in nonsegmenting languages. When there is no explicit information about the boundary of a word, parsing an input text is a formidable task. Not only the contemporary word list, but also the word usages have to be maintai ..."
Abstract
 Add to MetaCart
to be maintained to cover the use in current texts. The accuracy and efficiency in higher processing do heavily rely on the word identification process. In this paper, we introduce some statistical based approaches to tackle the problem due to the ambiguity in word segmentation. The word identification problem
A Statisticbased Approach to Testability Analysis
"... This paper presents a statisticbased approach for evaluating the testability of nodes in combinational circuits. This testability measurement is obtained via Monte Carlo simulation governed by the formulated Monte Carlo model. The Monte Carlo simulation is terminated when the predefined error with ..."
Abstract
 Add to MetaCart
This paper presents a statisticbased approach for evaluating the testability of nodes in combinational circuits. This testability measurement is obtained via Monte Carlo simulation governed by the formulated Monte Carlo model. The Monte Carlo simulation is terminated when the predefined error
A multiscale colinearity statistic based approach to robust background modeling
 In Asian Conference on Computer Vision
, 2006
"... Abstract. Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatiotemporal changes occurring due to local motion and/or variations in illumination conditions. The background model is learned from an image s ..."
Abstract

Cited by 4 (2 self)
 Add to MetaCart
Abstract. Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatiotemporal changes occurring due to local motion and/or variations in illumination conditions. The background model is learned from an image
Runlength and edge statistics based approach for image splicing detection
 in [Digital Watermarking
"... Abstract. In this paper, a simple but efficient approach for blind image splicing detection is proposed. Image splicing is a common and fundamental operation used for image forgery. The detection of image splicing is a preliminary but desirable study for image forensics. Passive detection approache ..."
Abstract

Cited by 4 (0 self)
 Add to MetaCart
approaches of image splicing are usually regarded as pattern recognition problems based on features which are sensitive to splicing. In the proposed approach, we analyze the discontinuity of image pixel correlation and coherency caused by splicing in terms of image runlength representation and sharp image
Novel Method of Interconnect Worstcase Establishment with StatisticallyBased Approaches
"... All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
Abstract
 Add to MetaCart
All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Results 1  10
of
2,040,074