Energy Minimization Methods in Computer Vision and Pattern Recognition  11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers /  [electronic resource] : 
edited by Marcello Pelillo, Edwin Hancock. 
 - 1st ed. 2018. 
 - XII, 582 p.  online resource. 
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  10746  3004-9954 ; .
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  10746 .
<br/><br/>Clustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation. 
<br/><br/> This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation. 
<br/><br/><label>ISBN: </label>9783319781990 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-78199-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Pattern recognition systems.<br/>Computer arithmetic and logic units.<br/>Computer vision.<br/>Numerical analysis.<br/>Computer science--Mathematics.<br/>Artificial intelligence.<br/>Automated Pattern Recognition.<br/>Arithmetic and Logic Structures.<br/>Computer Vision.<br/>Numerical Analysis.<br/>Mathematical Applications in Computer Science.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>Q337.5 TK7882.P3 
<br/><br/><label>Dewey Class. No.: </label>006.4