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» An Approach to Classify Semi-structured Objects
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ICVGIP
2008
13 years 9 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
MVA
2000
165views Computer Vision» more  MVA 2000»
13 years 9 months ago
Bayesian Shot Detection Using Structural Weighting
A video stream consists of a number of shots each of which has different boundary types such as cut, fade, and dissolve. Many previous approaches can find the cut boundary without...
Seung-Hoon Han, In-So Kweon, Chang-Yeong Kim, Yang...
MM
2010
ACM
174views Multimedia» more  MM 2010»
13 years 8 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
KES
2006
Springer
13 years 7 months ago
The Repository Method for Chance Discovery in Financial Forecasting
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
Alma Lilia Garcia-Almanza, Edward P. K. Tsang
ECCV
2008
Springer
14 years 9 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele