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» A Novel Framework for Visualizing Declarative Process Models
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PAMI
2012
13 years 7 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
ISBI
2008
IEEE
15 years 10 months ago
Convex analysis and separation of composite signals in DCE-MRI
Dynamic functional imaging promises powerful tools for the visualization and elucidation of important diseasecausing biological processes, where the pixels often represent a compo...
Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yu...
EUSAI
2003
Springer
15 years 3 months ago
Towards Computer Understanding of Human Interactions
People meet in order to interact - disseminating information, making decisions, and creating new ideas. Automatic analysis of meetings is therefore important from two points of vie...
Iain McCowan, Daniel Gatica-Perez, Samy Bengio, Da...
ICASSP
2011
IEEE
14 years 1 months ago
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition
In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs...
Ramya Rasipuram, Magimai.-Doss Mathew
CVPR
2007
IEEE
15 years 11 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce