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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 9 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
3DIM
2003
IEEE
14 years 24 days ago
Next View Planning for a Combination of Passive and Active Acquisition Techniques
In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number o...
Robert Sablatnig, Srdan Tosovic, Martin Kampel
JSW
2008
122views more  JSW 2008»
13 years 7 months ago
Modeling and Analysis the Web Structure Using Stochastic Timed Petri Nets
Precise analysis of the Web structure can facilitate data pre-processing and enhance the accuracy of the mining results in the procedure of Web usage mining. STPN Stochastic Timed...
Pozung Chen, Chu-Hao Sun, Shih-Yang Yang
ICIP
2003
IEEE
14 years 9 months ago
An efficient algorithm for extraction of anatomical structures in retinal images
This paper presents efficient methods for automatic detection and extraction of blood vessels and optic disc (OD) both of which are two prominent anatomical structures in ocular f...
Thitiporn Chanwimaluang, Guoliang Fan
CVPR
2011
IEEE
13 years 3 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg