BATE 发表于 2025-3-23 13:14:10

http://reply.papertrans.cn/24/2343/234295/234295_11.png

离开可分裂 发表于 2025-3-23 16:18:34

http://reply.papertrans.cn/24/2343/234295/234295_12.png

Generator 发表于 2025-3-23 19:53:30

http://reply.papertrans.cn/24/2343/234295/234295_13.png

大喘气 发表于 2025-3-23 23:34:23

Calibrating Parameters of Cost Functionalscorrect examples, and given a probabilistic construct for generating wrong examples from correct ones. We introduce a measure of frustration to penalize cases in which wrong responses are preferred to correct ones, and we design a stochastic gradient algorithm which converges to parameters which min

BRACE 发表于 2025-3-24 04:17:43

Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approachctive Region framework. A statistical analysis based on the Minimum Description Length criterion and the Maximum Likelihood Principle for the observed density function (image histogram) using a mixture of Gaussian elements, indicates the number of the different regions and their intensity properties

Enthralling 发表于 2025-3-24 07:52:38

http://reply.papertrans.cn/24/2343/234295/234295_16.png

invert 发表于 2025-3-24 13:26:26

A Probabilistic Interpretation of the Saliency Networknd image curves, maximizing some deterministic quality measure which grows with the length of the curve, its smoothness, and its continuity. This note proposes a modified saliency estimation mechanism, which is based on probabilistically specified grouping cues and on length estimation. In the conte

misanthrope 发表于 2025-3-24 17:16:25

Layer Extraction with a Bayesian Model of Shapeshis 3D model the scene is represented as a collection of layers and a new method for layer extraction is described. The new segmentation method differs from previous methods in that it uses a specific prior model for layer shape. A probabilistic hierarchical model of layer shape is constructed, whic

Cacophonous 发表于 2025-3-24 23:03:30

http://reply.papertrans.cn/24/2343/234295/234295_19.png

缩影 发表于 2025-3-24 23:48:16

http://reply.papertrans.cn/24/2343/234295/234295_20.png
页: 1 [2] 3 4 5 6 7
查看完整版本: Titlebook: Computer Vision - ECCV 2000; 6th European Confere David Vernon Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 3-D visio