標(biāo)題: Titlebook: Information Theory in Computer Vision and Pattern Recognition; Francisco Escolano,Pablo Suau,Boyán Bonev Textbook 2009 Springer-Verlag Lon [打印本頁(yè)] 作者: VERSE 時(shí)間: 2025-3-21 20:04
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書(shū)目名稱(chēng)Information Theory in Computer Vision and Pattern Recognition讀者反饋
書(shū)目名稱(chēng)Information Theory in Computer Vision and Pattern Recognition讀者反饋學(xué)科排名
作者: Biofeedback 時(shí)間: 2025-3-22 00:14
s, and finally to the tourism development and utilisation of the natural springs and mofettas in the modern age. The last chapter of our book provides an overview about landscape history and development, and the tourism in the past and present days of this outstanding region of Europe.作者: seruting 時(shí)間: 2025-3-22 03:13 作者: inscribe 時(shí)間: 2025-3-22 05:09
ers, even the youngest of them, the Ciomadul (Csomád), last erupted almost 30,000?years ago. Archaeological and historical sources, however, suggest that with its indirect and multifaceted effects, Ciomadul may have influenced the lives of prehistoric people lived in the area. In this chapter we pro作者: 使增至最大 時(shí)間: 2025-3-22 11:34 作者: Prosaic 時(shí)間: 2025-3-22 15:16 作者: spinal-stenosis 時(shí)間: 2025-3-22 18:03 作者: Pericarditis 時(shí)間: 2025-3-23 00:41 作者: A精確的 時(shí)間: 2025-3-23 05:07 作者: 吝嗇性 時(shí)間: 2025-3-23 06:54 作者: arboretum 時(shí)間: 2025-3-23 10:20 作者: 滋養(yǎng) 時(shí)間: 2025-3-23 17:21 作者: 極力證明 時(shí)間: 2025-3-23 21:28 作者: resuscitation 時(shí)間: 2025-3-23 23:21 作者: photophobia 時(shí)間: 2025-3-24 04:20 作者: 猜忌 時(shí)間: 2025-3-24 07:10
Registration, Matching, and Recognition,e instantiated to intensity distributions. Therefore, image registration can be posed as finding the (constrained) transformation that holds the maximal dependency between distributions. This rationale opens the door to the quest for new measures rooted in mutual information.作者: 鳴叫 時(shí)間: 2025-3-24 13:46 作者: APEX 時(shí)間: 2025-3-24 14:59
Feature Selection and Transformation,undant, and some could introduce noise, or be irrelevant. In some problems the number of features is very high and their dimensionality has to be reduced in order to make the problem tractable. In other problems feature selection provides new knowledge about the data classes. For example, in gene se作者: 不如樂(lè)死去 時(shí)間: 2025-3-24 19:23
Classifier Design, building unique but deep trees, in favor of a bunch of shallow trees. This is the keypoint of the chapter, the emergence of ., complex classifiers built in the aggregation/combination of simpler ones, and the role of IT in their design. In this regard, the method adapted to images is particularly i作者: Generalize 時(shí)間: 2025-3-25 02:40
978-1-4471-5693-2Springer-Verlag London Ltd., part of Springer Nature 2009作者: follicular-unit 時(shí)間: 2025-3-25 05:17 作者: 彩色 時(shí)間: 2025-3-25 09:15 作者: 啞巴 時(shí)間: 2025-3-25 12:55 作者: 不給啤 時(shí)間: 2025-3-25 19:14 作者: anarchist 時(shí)間: 2025-3-25 20:51
Textbook 2009ering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information…), principles (maximum entropy, min作者: 天賦 時(shí)間: 2025-3-26 01:22 作者: 影響 時(shí)間: 2025-3-26 07:51 作者: OASIS 時(shí)間: 2025-3-26 10:16 作者: Indurate 時(shí)間: 2025-3-26 14:28
Contour and Region-Based Image Segmentation, background, or by finding the optimal partition of the image into its constituent parts. Here . means that pixels (or blocks in the case of textures) in the foreground region share common statistics. These statistics should be significantly different from those corresponding to the background. In t作者: 抗原 時(shí)間: 2025-3-26 18:15
Registration, Matching, and Recognition,. Registration is defined as the task of finding the minimal amount of transformation needed to transform one pattern into another (as much as possible). The computational solution to this problem must be adapted to the kind of patterns and to the kind of transformations allowed, depending on the do作者: 粗野 時(shí)間: 2025-3-26 21:03
Image and Pattern Clustering, clustering algorithm is the similarity measure. In this regard information theory offers a wide range of measures (not always metrics) which inspire clustering algorithms through their optimization. In addition, information theory also provides both theoretical frameworks and principles to formulat作者: 吸氣 時(shí)間: 2025-3-27 02:23
Feature Selection and Transformation, step is the feature extraction. In image classification, for example, the feature set commonly consists of gradients, salient points, SIFT features, etc. High-level features can also be extracted. For example, the detection of the number of faces and their positions, the detection of walls or surfa作者: Nuance 時(shí)間: 2025-3-27 09:00
Classifier Design,, it yields large classification errors with test data. This is why the typical optimization of this kind of classifiers is some type of pruning. In this chapter, however, we introduce other alternatives. After reminding the basics of the incremental (local) approach to grow trees, we introduce a gl作者: Dysplasia 時(shí)間: 2025-3-27 12:56 作者: Counteract 時(shí)間: 2025-3-27 14:44
evolutionary history of plant life, the relationships between different groups of plants and, maybe the most important, how our world has changed through time. Pollen analysis (palynology) is one of the most important and efficient scientific method used in Quaternary palaeoecology and palaeoclimato作者: 免費(fèi) 時(shí)間: 2025-3-27 18:58 作者: 多產(chǎn)子 時(shí)間: 2025-3-27 23:31 作者: 清楚說(shuō)話(huà) 時(shí)間: 2025-3-28 02:33 作者: archetype 時(shí)間: 2025-3-28 07:33
s because they involve . arguments about politics, identity, rights, status differentiation, equality and inequality. The notion of citizenship goes back at least to ancient Greece. The Athenian city-state males who populate Aristotle’s . are distinctive citizens who share a privileged status. They 作者: SEMI 時(shí)間: 2025-3-28 11:21 作者: 隱藏 時(shí)間: 2025-3-28 16:18
