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[PDF] Top 20 Graph laplacian for interactive image retrieval

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Graph laplacian for interactive image retrieval

Graph laplacian for interactive image retrieval

... Learning, Graph Laplacian and Image ...based image retrieval (CBIR); the query by example and relevance feedback ...query image as an example of his “class of interest” and the ... Voir le document complet

5

Bag-of-Bags of Words : Irregular graph pyramids vs spatial pyramid matching for image retrieval

Bag-of-Bags of Words : Irregular graph pyramids vs spatial pyramid matching for image retrieval

... the graph of an image, which is composed of full connected dense grid-points, into several ...into image representation for image ...criterion for measuring the stability of ... Voir le document complet

8

Bag-of-Bags of Words model over irregular graph partitions for image retrieval

Bag-of-Bags of Words model over irregular graph partitions for image retrieval

... approach for Content-Based Image Retrieval (CBIR) that extends the bag-of-words (BoW) ...an image into a set of pre-defined number of ...of graph partitioning methods, the node of the ... Voir le document complet

7

Manifold learning using robust graph Laplacian for interactive image search

Manifold learning using robust graph Laplacian for interactive image search

... approach for relevance feed- back based on Graph ...new Graph Laplacian which makes it possible to robustly learn the em- bedding, of the manifold enclosing the dataset, via a dif- fusion ... Voir le document complet

9

A hypergraph-based model for graph clustering: application to image indexing

A hypergraph-based model for graph clustering: application to image indexing

... domain, for object representation [15], similarity measures [5], and object clustering ...model for a graph database, we process as follows: firstly, a clustering technique based on the prototype ... Voir le document complet

9

Visual object retrieval by graph features

Visual object retrieval by graph features

... object retrieval system based on the bag-of-visual-words (BoVW) approach ...an image by a set of ...an image are partitioned into several graphs by minimizing an energy via ...built for each ... Voir le document complet

4

Windows and Facades Retrieval using Similarity on Graph of Contours

Windows and Facades Retrieval using Similarity on Graph of Contours

... function for structured sets of ...relational graph on these fragments, where the vertices of the graph are contour segments extracted from the image and the edges of the graph ... Voir le document complet

5

A machine learning approach for image retrieval tasks

A machine learning approach for image retrieval tasks

... algorithms for ANN likes Selective Hashing [23], Anchor Graph Hashing [24], Scalable Graph Hashing [25], Neighborhood Approximation index, and Optimal Product Quantization ... Voir le document complet

6

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

... representations for more effective image-text ...adversarial graph attention convolution network (A- GANet ...extracts image features not only from the CNN branch but also from a graph ... Voir le document complet

7

Hierarchical Laplacian and Its Spectrum in Ultrametric Image Processing

Hierarchical Laplacian and Its Spectrum in Ultrametric Image Processing

... ultrametric image processing For the examples that we consider here, the ultrametric space (X, d) is built from a minimum spanning tree ...neighbor graph with points x ∈ X as vertices and all edge ... Voir le document complet

13

Evaluation of Graph Matching Measures for Documents Retrieval

Evaluation of Graph Matching Measures for Documents Retrieval

... applications, for instance, to represent circuit diagrams [4], for shape recognition [8], image matching [17, 2], or old document analysis ...on graph-based representation [1, 3, 21, 20, 10], ... Voir le document complet

10

An hybrid method for fine-grained content based image retrieval

An hybrid method for fine-grained content based image retrieval

... possible for the SVM , and adding them iter- atively to its training ...same image descriptions and the same dataset as [ Lai & Chen 2011 ...performs interactive image retrieval ... Voir le document complet

174

Interactive unsupervised classication and visualization for browsing an image collection

Interactive unsupervised classication and visualization for browsing an image collection

... scheme for organizing and visualizing a set of images, with a view to image ...time-varying graph, enabling the use of an efficient graph display ...is interactive, it also allows ... Voir le document complet

24

A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval

A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval

... ontology for the medical domain, which allowed us to extract con- cepts representative of each ...the graph theory to retain only the relevant concepts, and later to refine the results obtained we used the ... Voir le document complet

14

Challenging deep image descriptors for retrieval in heterogeneous iconographic collections

Challenging deep image descriptors for retrieval in heterogeneous iconographic collections

... designed for precise evaluation of robust- ness on a broader panel of appearance ...the retrieval method, whereas on Ale- goria we can assess how the method reacts to different types of variations, ... Voir le document complet

9

Approximate audio processing in an audio graph for interactive music systems

Approximate audio processing in an audio graph for interactive music systems

... community, for instance for audio streaming, but are not as widespread as techniques for video, certainly because video requires a higher throughput than audio, and because increasing latency is not ... Voir le document complet

12

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs

... (right) for GR01 pSCAN and anySCAN use almost the same number of simi- larity calculations, which is much smaller than those of other ...overhead for expanding its DTAR ... Voir le document complet

16

Interactive image-based information visualization for aircraft trajectory analysis

Interactive image-based information visualization for aircraft trajectory analysis

... trajectory for optimization ...– for France, in this case (image ...in image (d)). We now show these flights again in a top view (image (e), ...the interactive queries of F ROM D ... Voir le document complet

19

A Graph Pre-image Method Based on Graph Edit Distances

A Graph Pre-image Method Based on Graph Edit Distances

... synthesized graph pre-images is not ...a graph from path ...out for graph ...method for graphs. To this end, we bridge the gap between graph edit distances (GEDs) and any given ... Voir le document complet

11

On the Choice of Similarity Measures for Image Retrieval by Example

On the Choice of Similarity Measures for Image Retrieval by Example

... INRIA, Rocquencourt Domaine de Voluceau, BP-105 F-78153 Le Chesnay Cedex, France.. Jean-Philippe.Tarel@inria.fr Sabri.Boughorbel@inria.fr ABSTRACT.[r] ... Voir le document complet

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