位置：成果数据库 > 会议 > 会议详情页
Improved Stability Criteria of Generalized Recurrent Neural Networks with Time-varying Delays
  • 所属机构名称：北京工业大学
  • 会议名称：International Conference on Computer, Networks and Communication Engineering (ICCNCE)
  • 时间：2013
  • 成果类型：会议
  • 相关项目：基于视觉显著性的图像内容分析与检索
同会议论文项目
基于视觉显著性的图像内容分析与检索
期刊论文 17 会议论文 30
同项目会议论文
Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter
Detecting Salient Objects via Spatial and Appearance Compactness Hypotheses
Retrieving Images Combining Saliency Detection With IRM
Video Text Detection with Text Edges and Convolutional Neural Network
Visual saliency based bag of phrases for image retrival
A Combined Model for Scan Path in Pedestrian Searching
Object-level saliency detection based on spatial compactness Assumption
Object-Level saliency detection combining the contrast and spatial compactness hypothesis
Image Segmentation with Automatically Balanced Constraints
A Simple and Effective Saliency Detection Approach
A robust and efficient shot boundary detection approach based on fisher criterion
Effectively localize Text in Natural Scene Images
Modeling of Human Saccadic Scanpaths Based on Visual Saliency
Adult image detection based on AdaBoost
Retrieving images using Saliency Detection and Graph Matching
Robust Object Tracking via Incremental Subspace Dynamic Sparse Model
Robust Object Tracking via Multi-task Dynamic Sparse Model
A Novel Approach for Binarization of Overlay Text
Web Topic Detection Using a Ranked Clustering-Like Pattern Across Similarity Cascades
Interactive segmentation with direct connectivity priors
A Filtration Strategy Based on FD-CDF for Image Matching
A Third Searching Bias during Visual Attention: Evidencefrom Eye Movement
Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval
Modeling of human saccadic scanpaths based on visual saliency
Bio-inspired visual attention model and saliency guided object segmentation
Visual Saliency Based Bag of Phrases for Image Retrieval
Foreground Detection Utilizing Structured Sparse Model via L1,2 Mixed Norms
Localize and Segment Scene Text
Bio-Inspired Visual Attention Model and Saliency Guided Object Segmentation