hemoglobin
发表于 2025-3-23 11:31:03
Online Web-Data-Driven Segmentation of Selected Moving Objects in Videosashion from relevant labeled images ranked in a large-scale Web image set. The method for online prior learning has three steps: (1) relevant silhouette images for training are online selected using a user-provided bounding box and an object class annotation; (2) image patches containing the annotat
LURE
发表于 2025-3-23 15:36:35
Multi-Level Structured Image Coding on High-Dimensional Image Representation performance in various high level visual recognition tasks. Our work is motivated by the need of exploring rich structural information encoded by these image representations. In this paper, we propose a novel Multi-Level Structured Image Coding approach to uncover the structure embedded in represen
口诀法
发表于 2025-3-23 19:31:48
Incremental Slow Feature Analysis with Indefinite Kernel for Online Temporal Video Segmentationd by its application for unsupervised activity analysis, we develop SFA’s first implementation of online temporal video segmentation to detect episodes of motion changes. We utilize a domain-specific indefinite kernel which takes the data representation into account to introduce robustness. As our k
内行
发表于 2025-3-23 22:11:42
Texture Classification Based on BIMF Monogenic Signalsthod proposed by N.E.Huang. It consists two parts: Empirical Mode Decomposition (EMD) and Hilbert transform. Images are decomposed to several Bidimensional Intrinsic Mode Functions (BIMFs) by BEMD, which present new multi-scale characters and present illumination invariant. And then, for two-dimensi
野蛮
发表于 2025-3-24 04:19:14
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crescendo
发表于 2025-3-24 07:07:45
Co-regularized PLSA for Multi-view Clusteringe difficulty of a learning problem of interest. To this end, we propose an extended Probabilistic Latent Semantic Analysis (PLSA) model for multi-view clustering, named Co-regularized PLSA (CoPLSA). CoPLSA integrates individual PLSAs in different views by pairwise co-regularization. The central idea
Prosaic
发表于 2025-3-24 11:07:44
Quadra-Embedding: Binary Code Embedding with Low Quantization Errorale similarity search used in many computer vision applications including image retrieval. Most of prior techniques have centered around optimizing a set of projections for accurate embedding. In spite of active research efforts, existing solutions suffer both from diminishing marginal efficiency as
Meager
发表于 2025-3-24 17:16:58
Learning a Context Aware Dictionary for Sparse Representationplete dictionary should be learned from data. This is because the quality of a dictionary greatly affects performance in many respects, including computational. While so far the focus has been on learning compact, reconstructive, and discriminative dictionaries, in this work we propose to retain the
Minuet
发表于 2025-3-24 23:01:22
Robust Multiple-Instance Learning with Superbagsth the classifier. These steps are iteratively performed on the same training data, thus imputing labels by evaluating the classifier on the data it is trained upon. Consequently this alternating optimization is prone to self-amplification and overfitting. To resolve this crucial issue of popular mu
下边深陷
发表于 2025-3-24 23:48:11
Conference proceedings 2013ture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.