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» Extracting Important Sentences with Support Vector Machines
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149
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ICPR
2010
IEEE
15 years 2 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
118
Voted
ICIP
2010
IEEE
15 years 1 months ago
Multi-spectral image analysis for skin pigmentation classification
In this paper, we compare two different approaches for semiautomatic detection of skin hyper-pigmentation on multispectral images. These two methods are support vector machine (SV...
Sylvain Prigent, Xavier Descombes, Didier Zugaj, P...
121
Voted
ICIP
2005
IEEE
16 years 5 months ago
Eigenwalks: walk detection and biometrics from symmetry patterns
In this paper we present a symmetry-based approach which can be used to detect humans and to extract biometric characteristics from video image-sequences. The method employs a simp...
Laszlo Havasi, Tamás Szirányi, Zolt&...
128
Voted
ICMCS
2007
IEEE
117views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Digital Media Indexing on the Cell Processor
We present a case study of developing a digital media indexing application, code-named MARVEL, on the STI Cell Broadband Engine (CBE) processor. There are two aspects of the targe...
Lurng-Kuo Liu, Qiang Liu, Apostol Natsev, Kenneth ...
140
Voted
EMNLP
2010
15 years 1 months ago
Automatic Detection and Classification of Social Events
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
Apoorv Agarwal, Owen Rambow