Orthosis 发表于 2025-3-21 18:20:46

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verdict 发表于 2025-3-21 20:16:27

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卜闻 发表于 2025-3-22 04:21:28

Multi-sensor Information Fusion by Query Refinementeedback information to the other sensors. The approach is also applicable to evolutionary queries that change in time and/or space, depending upon the temporal/spatial coordinates of the query originator.

涂掉 发表于 2025-3-22 07:40:19

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压倒性胜利 发表于 2025-3-22 10:12:01

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隼鹰 发表于 2025-3-22 16:36:23

MiCRoM: A Metric Distance to Compare Segmented Imagesented and represented as a set of regions, and the distance between images is computed according to the visual features of their regions. A major problem of existing distance functions used to compare segmented images is that they are not metrics. Hence, it is not possible to exploit filtering techn

Detonate 发表于 2025-3-22 21:05:06

Image Retrieval by Regions: Coarse Segmentation and Fine Color Descriptionterest regardless their background in images. The definition of regions in thousands of generic images is a difficult key point, since it should not need user interaction for each image, and nevertheless be as close as possible to regions of interest (to the user). In this paper we first propose a n

CROAK 发表于 2025-3-22 23:08:51

Fast Approximate Nearest-Neighbor Queries in Metric Feature Spaces by Buoy Indexing to break the “dimensionality curse”. The basis for the proposed method is the partitioning of the feature dataset into a fixed number of clusters that are represented by single buoys. Upon submission of a query request, only a small number of clusters whose buoys are close to the query object are c

发怨言 发表于 2025-3-23 01:24:48

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ironic 发表于 2025-3-23 08:57:44

Region-Based Image Retrieval Using Multiple-Features technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole images is calculated. The relative importance of the
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查看完整版本: Titlebook: Recent Advances in Visual Information Systems; 5th International Co Shi-Kuo Chang,Zen Chen,Suh-Yin Lee Conference proceedings 2002 Springer