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ICML
2010
IEEE
15 years 5 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
122
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KIC
2000
15 years 6 months ago
Knowledge Discovery and Data Mining within a Design Environment
Designers, in the process of satisfying design requirements, generally encounter difficulties in, firstly, understanding the problem and secondly, finding a solution [Cross 1998]....
Mark K. D. Haffey, Alex H. B. Duffy
ECCV
2010
Springer
15 years 10 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
ECSCW
2003
15 years 6 months ago
Tourism and Mobile Technology
While tourism presents considerable potential for the use of new mobile technologies, we currently have little understanding of how tourists organise their activities or of the pro...
Barry Brown, Matthew Chalmers
MVA
1992
166views Computer Vision» more  MVA 1992»
15 years 6 months ago
Estimation and Interpretation of Optical Flow Fields for Counting Moving Objects
The main goal of sequence analysis is the motion estimation of moving objects which are present in the scene. One of the most important approaches for motion estimation is based o...
Alberto Del Bimbo, Paolo Nesi, Jorge L. C. Sanz