Deep Learning Publication Navigator - subtopic: svm

Year TitleAuthor
2017   Facial decomposition for expression recognition using texture/shape descriptors and SVM classifier  K Lekdioui, R Messoussi, Y Ruichek, Y Chaabi
2017   Structured SVM backpropagation to Convolutional Neural Network applying to Human Pose Estimation  P Witoonchart, P Chongstitvatana
2017   Detect Network Anomalies Using A Linear Svm  M Moradi, A Salehi, KA Zadeh 
2017   A Cascade of Deep Learning Fuzzy Rule-based Image Classifier and SVM  PP Angelov, X Gu
2017   Speech Emotion Recognition Based on PSO-optimized SVM  C LI, F LIU, Y WANG, W Hui, Q ZHANG
2017   Emotion Recognition from Chinese Speech for Smart Affective Services Using a Combination of SVM and DBN  L Zhu, L Chen, D Zhao, J Zhou, W Zhang
2017   Exploring overall opinions for document level sentiment classification with structural SVM  X Pu, G Wu, C Yuan
2017   Detecting Chinese calligraphy style consistency by deep learning and one-class SVM  Z Jiulong, G Luming, Y Su, S Xudong, L Xiaoshan
2016   Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised Machine Learning: Comparison Between Deep Learning and HOG+ SVM Methods  T Claverie, D Mouillot
2016   Visual Representations and Models: From Latent SVM to Deep Learning  H Azizpour
2016   Diagnosis of Degenerative Intervertebral Disc Disease with Deep Networks and SVM  AB Oktay, YS Akgul
2016   High-Dimensional and Large-Scale Anomaly Detection using a Linear One-Class SVM with Deep Learning  SM Erfani, S Rajasegarar, S Karunasekera, C Leckie
2016   Trusting SVM for Piecewise Linear CNNs  L Berrada, A Zisserman, MP Kumar
2016   SVM or deep learning? A comparative study on remote sensing image classification  P Liu, KKR Choo, L Wang, F Huang
2016   Deep learning and svm classification for plant recognition in content-based large scale image retrieval  BP Tóth, DP Márton Tóth, G Szúcs
2016   Can Learning Vector Quantization be an Alternative to SVM and Deep Learning?-Recent Trends and Advanced Variants of Learning Vector Quantization for …  T Villmann, A Bohnsack, M Kaden
2016   一种基于 Svm 和主动学习的图像检索方法  王新建, 罗光春, 秦科, 陈爱国, 赖云一, 机构, 统计
2016   Hybrid DNN-Latent structured SVM acoustic models for continuous speech recognition  S Ravuri
2016   Gender Recognition from Face Images Using a Fusion of SVM Classifiers  G Azzopardi, A Greco, M Vento
2016   Structured Output SVM Prediction of Apparent Age, Gender and Smile From Deep Features  M Uricár, CTU FEE, R Timofte, R Rothe, J Matas
2015   An Innovative SVM for Wheat Seed Quality Estimation⋆  X Wanga, W Tanb, H Wuc
2015   SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet  L Zhang, D Zhang
2015   A Deep Learning Method Combined Sparse Autoencoder with SVM  Y Ju, J Guo, S Liu
2015   Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images  A Halpern, JR Smith
2015   Surface object recognition with CNN and SVM in Landsat 8 images  T Ishii, R Nakamura, H Nakada, Y Mochizuki
2015   Predicting Secondary Structures Of Proteins Using Deep Learning And SVM  S Holt
2015   On Combining Multiple Instance Linear SVM and Bag Splitting for High Performance Visual Object Localization  K Huang, W Ren, D Tao, T Tan
2015   The Extraction of Powerful and Attractive Video Contents Based on One Class SVM  X Liu, X Song, J Jiang
2014   Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm  J Zhu, J Mao, AL Yuille
2014   Scene Classification Based on Single-layer SAE and SVM  H Yin, X Jiao, Y Chai, B Fang
2014   Restricted Boltzmann Machines with SVM for Object Recognition⋆  C XIE, Y DU, Z GAO