Titlebook: Advances in Neural Networks - ISNN 2006; Third International Jun Wang,Zhang Yi,Hujun Yin Conference proceedings 2006 Springer-Verlag Berli

Sciatica

Lecture Notes in Electrical Engineering the partially damaged faces is presented. The theoretical expressions are plotted, and the comparative experiments are completed for the UMIST face database. It shows that .. subspace associative memory outperform .. subspace method significantly in recognizing partially damaged faces.

DAMP

Console

Lei Dai,Liwei Zhang,Limin Li,You Chenhere the most similar one belongs, and classifying his/her facial expression using the so called “expression model” of the most similar individual. This kind of approach has never be exploited before, then we will examine its robustness in our experiment.

慌张

Qilian Liang,Xin Liu,Baoju Zhangt the weak classifiers set based on this novel method. The weak classifiers selected from the above set by Adaboost are combined into strong classifier to be as node classifier of one level of the tree structure. N-level tree structure built by BoostingTree can effectively solve multiclass problem such as facial expression recognition

FLING

危机

Zheming Sun,Chunjuan Bo,Dong Wanges with or without occlusions. The simulation results show that RBF classifier outperforms .–nearest neighbor linear classifier significantly in recognizing faces with occlusions, and the holistic representations are generally less sensitive to occlusions or noise than parts-based representations.

设想

Ying Tong,Kaikai Li,Jin Chen,Rong Liuchanges the unbalanced training problem into a balanced training problem and improves the classification rate of the small group. Moreover, we use the dynamical threshold learning algorithm to classify the remote sensing images, when the unbalanced level of classes is high, a good effect is obtained.

诱使

Lecture Notes in Electrical Engineering accuracy but also speeds up classification process. Finally, the classification of wireless communication signals is given as an example to illustrate the validation of the proposed method in this paper.

啮齿动物

Ying Tan,Zongjie Cao,Jilan Feng,Zongyong Cui accurately locate double eyes with less computational and memory cost. It runs at 400ms per image of size 256×256 pixels with high detection rates on a SANYO cellular phone with ARM926EJ-S processor that lacks floating-point hardware.

谦虚的人

Lecture Notes in Electrical Engineeringthe face boundary, .. is determined. A heteroassociative memory neural network model is utilized to find the facial features. An input neuron vector . accepts .. and the output neurons vector . maps it to the facial features such as eyes, nose and mouth.