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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 10 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
EMMCVPR
2001
Springer
14 years 1 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
IVC
2007
187views more  IVC 2007»
13 years 8 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
ICDAR
2009
IEEE
13 years 6 months ago
A Symbol Spotting Approach Based on the Vector Model and a Visual Vocabulary
This paper addresses the difficult problem of symbol spotting for graphic documents. We propose an approach where each graphic document is indexed as a text document by using the ...
Thi-Oanh Nguyen, Salvatore Tabbone, Alain Boucher