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» Selectivity Estimation using Probabilistic Models
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CVPR
2006
IEEE
16 years 6 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 2 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,...
AAAI
2007
15 years 7 months ago
Turning Lectures into Comic Books Using Linguistically Salient Gestures
Creating video recordings of events such as lectures or meetings is increasingly inexpensive and easy. However, reviewing the content of such video may be time-consuming and difï¬...
Jacob Eisenstein, Regina Barzilay, Randall Davis
HPCA
2009
IEEE
16 years 5 months ago
Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
Lide Duan, Bin Li, Lu Peng
CVPR
2009
IEEE
16 years 12 months ago
Illumination and Spatially Varying Specular Reflectance from a Single View
Estimating the illumination and the reflectance properties of an object surface from a sparse set of images is an important but inherently ill-posed problem. The problem becomes...
Kenji Hara (Kyushu University), Ko Nishino (Drexel...