標(biāo)題: Titlebook: Advances in Neural Networks - ISNN 2006; Third International Jun Wang,Zhang Yi,Hujun Yin Conference proceedings 2006 Springer-Verlag Berli [打印本頁(yè)] 作者: Falter 時(shí)間: 2025-3-21 17:13
書目名稱Advances in Neural Networks - ISNN 2006影響因子(影響力)
書目名稱Advances in Neural Networks - ISNN 2006影響因子(影響力)學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2006網(wǎng)絡(luò)公開(kāi)度
書目名稱Advances in Neural Networks - ISNN 2006網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2006被引頻次
書目名稱Advances in Neural Networks - ISNN 2006被引頻次學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2006年度引用
書目名稱Advances in Neural Networks - ISNN 2006年度引用學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2006讀者反饋
書目名稱Advances in Neural Networks - ISNN 2006讀者反饋學(xué)科排名
作者: Omniscient 時(shí)間: 2025-3-21 21:52 作者: antiandrogen 時(shí)間: 2025-3-22 03:57 作者: inscribe 時(shí)間: 2025-3-22 07:58
https://doi.org/10.1007/978-1-4614-5803-6ecognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy than the conventional techniques.作者: 不能仁慈 時(shí)間: 2025-3-22 09:45 作者: 要塞 時(shí)間: 2025-3-22 13:43
Zhao Zhang,Baoju Zhang,Hongwei Liu,Bo Zhangtes the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an application to human face recognition, with comparisons of performance with conventional pattern recognition algorithms.作者: 世俗 時(shí)間: 2025-3-22 18:35 作者: avenge 時(shí)間: 2025-3-23 00:46 作者: Oratory 時(shí)間: 2025-3-23 03:17
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149143.jpg作者: 合乎習(xí)俗 時(shí)間: 2025-3-23 06:16
Lecture Notes in Electrical Engineering. First, a RGB image inputted from a frame grabber is converted into a HSV image. Then, the coarse facial region is extracted using the hue(H) and saturation(S) components except intensity(V) component which is sensitive to the environmental illumination. Next, the fine facial region extraction proc作者: 骯臟 時(shí)間: 2025-3-23 12:14
Ying Tong,Kaikai Li,Jin Chen,Rong Liufication because it often lead the NN to overcompensate for the dominant group. Therefore, in this paper a dynamic threshold learning algorithm (DTLA) is proposed as the substitute for the conventional LSE algorithm. This method uses multiple dynamic threshold parameters to gradually remove some tra作者: 令人悲傷 時(shí)間: 2025-3-23 14:33 作者: 無(wú)力更進(jìn) 時(shí)間: 2025-3-23 19:09 作者: CHASE 時(shí)間: 2025-3-24 00:32
https://doi.org/10.1007/978-1-4614-5803-6ecognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy th作者: 使服水土 時(shí)間: 2025-3-24 03:15 作者: Schlemms-Canal 時(shí)間: 2025-3-24 09:23 作者: 完全 時(shí)間: 2025-3-24 13:04 作者: addition 時(shí)間: 2025-3-24 18:21
Lei Dai,Liwei Zhang,Limin Li,You Chenh facial expression, what are the patterns that distinguish them from one another. We applied widely used pattern recognition technique-principle component analysis to characterize the feature point displacements of each basic human facial expression for each individual in the existing database. For作者: ACRID 時(shí)間: 2025-3-24 21:55 作者: 暗諷 時(shí)間: 2025-3-25 00:30
Yongkui Ma,Shaopeng Zhang,Jiayan Zhangnition task. Given that AAM has been also used in tracking the moving object, we thought it could be effective in recognizing the facial expressions of humans. Our results show that the performance of the facial expression recognition using AAM is reliably high when it combined with an enhanced Fish作者: PIZZA 時(shí)間: 2025-3-25 03:54
Qilian Liang,Xin Liu,Baoju Zhangssing and pattern recognition, and it plays a very important role in the applications of human-computer interfaces and human emotion analysis. This paper proposes an algorithm called BoostingTree, which is based on the conventional Adaboost and uses tree-structure to convert seven facial expressions作者: 陶瓷 時(shí)間: 2025-3-25 10:53 作者: 油氈 時(shí)間: 2025-3-25 15:03
Zhao Zhang,Baoju Zhang,Hongwei Liu,Bo Zhangtes the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an application to human face recognition, with comparisons of performance with conventional pattern recognition algorithms.作者: 機(jī)警 時(shí)間: 2025-3-25 16:38
Liantao Bai,Yaxing Liu,Jun Wang,Hengpeng Xuhere a quick human “glance” is sufficient to recognize a “familiar” face. Face recognition has recently attracted more research aimed at developing reliable recognition by machines. Current face recognition methods rely on detecting certain features within a face and using these features for face re作者: labile 時(shí)間: 2025-3-25 21:18
https://doi.org/10.1007/978-981-99-1260-5 of both labeled and unlabeled data. In face recognition, collecting labeled examples costs human effort, while vast amounts of unlabeled data are often readily available and offer some additional information. In this paper, based on Support Vector Machine (SVM), we introduce a novel semi-supervised作者: 宿醉 時(shí)間: 2025-3-26 03:30
Zheming Sun,Chunjuan Bo,Dong Wang function (RBF) classifier. NMFs can represent a facial image based on either local or holistic features by constraining the sparseness of the basis images. The comparative experiments are carried out between NMFs with low or high sparseness and principle component analysis (PCA) for recognizing fac作者: peptic-ulcer 時(shí)間: 2025-3-26 08:23
Yukun Wang,Wenbin Guo,Xiao Zhangre subspaces learned by principal component analysis (PCA). The two classifiers employ the same classification model named a polynomial neural network (PNN). The outputs of the two classifiers are fused to make the final decision. The effectiveness of the proposed method has been demonstrated in exp作者: 卡死偷電 時(shí)間: 2025-3-26 10:27 作者: 抑制 時(shí)間: 2025-3-26 15:36 作者: 拋棄的貨物 時(shí)間: 2025-3-26 18:23 作者: 得罪人 時(shí)間: 2025-3-27 00:45 作者: Microgram 時(shí)間: 2025-3-27 02:36 作者: 阻止 時(shí)間: 2025-3-27 06:00 作者: Manifest 時(shí)間: 2025-3-27 12:50
Automatic Facial Expression Recognition die gro?en Ten?re ganz selbstverst?ndlich das Geburtsjahr 1934 angibt, damit allen offiziellen Verlautbarungen widersprechend, die sich ansonsten v?llig durchgesetzt haben. Was jedoch in unserem Zusammenhang z?hlt, ist die s?ngerische und künstlerische Leistung, und darüber gibt es genug zu sagen, 作者: arabesque 時(shí)間: 2025-3-27 16:28 作者: 無(wú)情 時(shí)間: 2025-3-27 21:47
Facial Expression Recognition Based on BoostingTreeen Schriftsteller, weil sie sich nicht gegen die Vertreter der “Obrigkeit” ?u?ern durften, in den sch?ngeistigen Beilagen der gr??eren Zeitungen oder auch in journalistischen Winkelbl?ttchen unabl?ssig gegen irgendwelche literarischen Nebenbuhler zu Felde, um sich in der stickigen Atmosph?re dieser 作者: 不給啤 時(shí)間: 2025-3-27 22:06
Parts-Based Holistic Face Recognition with RBF Neural Networks model rail track with different fouling material are buried under the subsurface structures. This work is carried out in Civil Engineering laboratory, IISc, Bangalore. This research work presents the detection of underground structures like different metals, big-sized ballast and clean ballast. Fin作者: 障礙物 時(shí)間: 2025-3-28 03:12 作者: cravat 時(shí)間: 2025-3-28 07:26
Face Detection Method Based on Kernel Independent Component Analysis and Boosting Chain Algorithmry stiff clayey soil was observed till the 30.0?m depth. Looking at the ground conditions, two ground improvement methods were considered suitable for the proposed bridge such as (a) ground improvement using stone columns beneath retaining walls and (b)ground improvement using PVDs for soil fills fo作者: conscience 時(shí)間: 2025-3-28 12:34
0302-9743 proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research 978-3-540-34437-7978-3-540-34438-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 甜食 時(shí)間: 2025-3-28 17:50 作者: 有罪 時(shí)間: 2025-3-28 22:37 作者: HILAR 時(shí)間: 2025-3-29 00:21 作者: Tdd526 時(shí)間: 2025-3-29 03:55 作者: 等級(jí)的上升 時(shí)間: 2025-3-29 08:27
Face Recognition Using a Neural Network Simulating Olfactory SystemsOverview: 作者: PAGAN 時(shí)間: 2025-3-29 12:57
Face Recognition Using Neural Networks and Pattern AveragingOverview: 作者: Morose 時(shí)間: 2025-3-29 15:48 作者: 值得尊敬 時(shí)間: 2025-3-29 23:42 作者: 配偶 時(shí)間: 2025-3-30 01:29
0302-9743 gdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from author作者: 易達(dá)到 時(shí)間: 2025-3-30 05:52
Ying Tan,Zongjie Cao,Jilan Feng,Zongyong Cuiiments on iris database demonstrate that compared to the existent methods, the MPM-based iris recognition algorithm obtains better classification performance. It can significantly improve the recognition accuracy and has a competitive and promising performance.作者: Sciatica 時(shí)間: 2025-3-30 10:14
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.作者: DAMP 時(shí)間: 2025-3-30 15:06 作者: Console 時(shí)間: 2025-3-30 17:04
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.作者: 慌張 時(shí)間: 2025-3-30 21:52
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作者: FLING 時(shí)間: 2025-3-31 03:23 作者: 危機(jī) 時(shí)間: 2025-3-31 08:44
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.作者: 設(shè)想 時(shí)間: 2025-3-31 10:44
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.作者: 誘使 時(shí)間: 2025-3-31 15:02
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.作者: 嚙齒動(dòng)物 時(shí)間: 2025-3-31 17:33
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.作者: 謙虛的人 時(shí)間: 2025-4-1 01:36
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.作者: Promotion 時(shí)間: 2025-4-1 04:58 作者: Carbon-Monoxide 時(shí)間: 2025-4-1 06:25 作者: 陶醉 時(shí)間: 2025-4-1 13:32
Design an Effective Pattern Classification Modelraag komt bij je op waarom je cli?nt zich zo voelt en gedraagt. Komt het door diens persoonlijkheid, levensgeschiedenis, gezondheids- of hersenproblemen? De?altijd aanwezige invloed op gedrag en stemming blijft meestal onderbelicht: en dat is de omgeving. De staatsman Churchill, symbool van de Engel
