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PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
131
Voted
TRECVID
2007
15 years 4 months ago
Shot Boundary Detection at TRECVID 2007
Shot boundary detection is one of the most fundamental processes in video analysis, and it requires high detection accuracy and high-speed processing. This paper proposes a method...
Yoshihiko Kawai, Hideki Sumiyoshi, Nobuyuki Yagi
128
Voted
ICIP
2010
IEEE
15 years 1 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
154
Voted
ICCV
2005
IEEE
16 years 5 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
126
Voted
PCM
2004
Springer
125views Multimedia» more  PCM 2004»
15 years 9 months ago
Semantic Analysis of Basketball Video Using Motion Information
Abstract. This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scen...
Song Liu, Haoran Yi, Liang-Tien Chia, Deepu Rajan,...