位置：成果数据库 > 会议 > 会议详情页
An Approach to Texture Segmentations Analysis Based on Sparse Coding Model and EM Algorithm
  • 所属机构名称：中国科学院计算技术研究所
  • 会议名称：International Symposium on Neural Networks 2010 (ISNN 2010)
  • 成果类型：会议
  • 相关项目：基于时间振荡相关与空间整合编码的视觉感知-眼动控制神经网络系统的模拟研究与应用
作者： Lijuan Duan|Jicai Ma|Zhen Yang|Jun Miao|
同会议论文项目
基于时间振荡相关与空间整合编码的视觉感知-眼动控制神经网络系统的模拟研究与应用
期刊论文 11 会议论文 20 专利 1
同项目会议论文
Learning and memory of spatial relationship by a neural network with sparse features
Sparse Coding of Visual Context
A PCNN Based Approach to Image Segmentation Using Size-Adaptive Texture Features
Searching eye centers using a context-based neural network
Matrix-Structural Learning (MSL) of cascaded classifier from enormous training set
Biological-inspired computational modeling of eye-motion control for object detection
Single vs. population cell coding: Gaze movement control in target search
Qualitative Analysis in Locally Coupled Neural Oscillator Network
Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detec
Manifold-manifold distance with application to face recognition based on image set
Image segmentation using dynamic mechanism based PCNN model
Detection of Front-view Vehicle with Occlusions Using AdaBoost
A texture images segmentation method based on ICA filters
A Novel Hebbian Rules Based Method for Computation of Sparse Coding Basis Vectors
Visual context representation using a combination of feature-driven and object-driven mechanisms
Face reconstruction using fixation positions and foveated imaging
Visual Selection and Attention Shifting Based On FitzHugh-Nagumo Equations
Advertisement evaluation using visual saliency based on foveated image
A method of human skin region detection based on PCNN