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CVPR
2005
IEEE
16 years 1 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
INFOCOM
2009
IEEE
15 years 5 months ago
On Passive One-Way Loss Measurements Using Sampled Flow Statistics
—The ability to scalably measure one-way packet loss across different network paths is vital to IP network management. However, the effectiveness of active-measurement techniques...
Yu Gu, Lee Breslau, Nick G. Duffield, Subhabrata S...
AIME
2007
Springer
15 years 5 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...
IMC
2005
ACM
15 years 4 months ago
Combining Filtering and Statistical Methods for Anomaly Detection
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...
Augustin Soule, Kavé Salamatian, Nina Taft
MICCAI
1999
Springer
15 years 3 months ago
Statistical Segmentation of fMRI Activations Using Contextual Clustering
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...
Eero Salli, Ari Visa, Hannu J. Aronen, Antti Korve...