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AAAI
2012
13 years 6 days ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
IJCNN
2008
IEEE
15 years 4 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
EMISA
2007
Springer
15 years 4 months ago
On Industrial Use of Requirements Engineering Techniques
We discuss two experiments in which requirements engineering techniques has been used and evaluated. In the first experiment a technique called Executable Use Cases is applied in t...
Lars Bækgaard, Jens Bæk Jørgens...
NCA
2011
IEEE
14 years 4 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
ECCV
2004
Springer
15 years 11 months ago
Modeling and Synthesis of Facial Motion Driven by Speech
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
Payam Saisan, Alessandro Bissacco, Alessandro Chiu...