[PDF] Top 20 Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation
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Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation
... Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation Rapha¨el Mar´ee 1 , Marie Dumont 2 , Pierre Geurts ... Voir le document complet
1
Random Subwindows and Multiple Output Decision Trees for Generic Image Annotation
... method for the generic problem of image annotation based on random subwindows extraction and ensembles of decision trees with multiple ...etc.). Image ... Voir le document complet
1
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
... of trees (2.3), and its practical use for image retrieval ...of Random Subwindows Occlusions, cluttered backgrounds, and viewpoint or orientation changes that occur ... Voir le document complet
12
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
... in image acquisition technologies, large image collec- tions are available in many ...words, and because there is no widely used taxonomy standard for ...“content-based image ... Voir le document complet
10
Biological Image Classification with Random Subwindows and Extra-Trees
... square subwindows of random sizes are extracted at random positions from training ...values, and labeled with the class of its parent ...subwindow classification model is then built by ... Voir le document complet
2
Scaling limits of random trees and planar maps
... maps and their scaling ...(rooted and pointed) quadrangulations and labeled ...map, and provide useful upper and lower bounds for other ...limits for rescaled uniformly ... Voir le document complet
58
Image Retrieval with Reciprocal and shared Nearest Neighbors
... Content-based image retrieval systems typically rely on a similarity metric between image vector representa- tions, such as in bag-of-words or VLAD, to rank the database images in decreasing order of ... Voir le document complet
12
Multiphase Evolution and Variational Image Classification
... Multiphase Evolution and Variational Image Classification Christophe Samson — Laure Blanc-Féraud — Gilles Aubert — Josiane Zerubia.. apport de recherche..[r] ... Voir le document complet
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Exact asymptotics for phase retrieval and compressed sensing with random generative priors
... estimation and phase ...results for sparse signal reconstruction in these inverse problems in the high-dimensional regime with random measurement matrices studied in this ...statistical and ... Voir le document complet
15
Retrieval and classification methods for textured 3D models: a comparative study
... global and multi-scale ones, both for geo- metric and texture information, see Table 1 for ...LBGtxt and Ve(1-3). However, other options are pos- sible. For instance, runs ... Voir le document complet
23
Boosting sparse representations for image retrieval
... Figure 1-11 shows an example query of the image retrieval system using selective measurements and boosting.. Many people would agree that most of the retrieved images a[r] ... Voir le document complet
72
Graph laplacian for interactive image retrieval
... a random variable standing for a training sam- ple taken from X and Y its class label in {+1, −1} (Y = 1 if the sample X belongs to the targeted class and −1 ...vertices and E are ... Voir le document complet
5
Semantic Gastroenterological Images Annotation and Retrieval - Reasoning with a Polyp Ontology
... expressivity and computation per- ...S2 and S3: indeed, the first corresponds to the classical instance retrieval reasoning, while the other two are strongly based on ...ones for de- scription ... Voir le document complet
9
Growth Rate and Ergodicity Conditions for a Class of Random Trees
... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois -[r] ... Voir le document complet
21
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
... proposed for remote sensing image classification during the past two ...algorithms, Random Forest (RF) and Support Vector Machines (SVM) have drawn attention to image ... Voir le document complet
21
Triplet markov trees for image segmentation
... the classification of the parent’s ...(STMT) and is introduced in Sec- tion 2, along with the MPM segmentation ...HMT and Hid- den Markov Field (HMF) ... Voir le document complet
6
Bindweeds or random walks in random environments on multiplexed trees and their asympotics
... results for bindweeds As a simple example, consider a rooted tree with constant branching b, and let us construct a random walk in random environment on it by sampling the transition ... Voir le document complet
13
Transformation Pursuit for Image Classification
... the image level. For instance, [15, 10, 14] generate virtual im- ages from the original ones using plausible transformations such as crop and ...intuitive and easier to inter- pret, as one can ... Voir le document complet
9
Leveraging large scale Web data for image retrieval and user credibility estimation
... day. For SVM training, they develop a parallel averaging stochastic gradient descent (ASGD) algorithm for training one-against-all 1000-class SVM ...whole image input. In a closely related work, Su ... Voir le document complet
268
3D Image Analysis and Artificial Intelligence for Bone Disease Classification
... A classification problem deals with associating a given input pattern with one of the distinct ...The classification problem determines which of the regions a given pattern falls ...separable and, in ... Voir le document complet
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