• No results found

svm training

Rosen’s projection method for SVM training

Rosen’s projection method for SVM training

... Abstract. In this work we will give explicit formulae for the application of Rosen’s gradient projection method to SVM training that leads to a very simple implementation. We shall experimentally show that ...

6

An FPGA-Based Accelerator For Distributed SVM Training

An FPGA-Based Accelerator For Distributed SVM Training

... FPGA-based SVM accelerators in litera- ture [9] ...novel training algorithms in [12] and [13], with the idea that the algorithms themselves be amenable for designing their respective FPGA-based hardware ...

56

Parallel one-versus-rest SVM training on the GPU

Parallel one-versus-rest SVM training on the GPU

... Our approach shows promising results: significant speedups are achieved over liblinear, the current standard in linear SVM training. We were able to achieve speedups of up to 17× on our available hardware. ...

5

Core Vector Machines: Fast SVM Training on Very Large Data Sets

Core Vector Machines: Fast SVM Training on Very Large Data Sets

... practical SVM implementations to scale-up SVM ...the training set size m while its space complexity is independent of ...existing SVM implementations, but is much faster and produces far fewer ...

30

Fast SVM Training Using Approximate Extreme Points

Fast SVM Training Using Approximate Extreme Points

... the SVM training. Random sampling of training data is another approach followed by approximate SVM ...the training data set is ...the training data ...

40

Efficient SVM Training Using Low-Rank Kernel Representations

Efficient SVM Training Using Low-Rank Kernel Representations

... SVM training is a convex optimization problem which scales with the training set size rather than the feature space ...cause training to be ...

22

Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training

Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training

... (SVM) training due to its simplicity and ...other SVM learning algorithms, SGD is susceptible to the curse of kernel- ization that causes unbounded linear growth in model size and update time with ...

29

On the Suitable Domain for SVM Training in Image Coding

On the Suitable Domain for SVM Training in Image Coding

... for SVM training are neither statistically independent nor perceptually ...conventional SVM learning reported in linear ...for SVM training because it strictly fulfills the diagonal ...

18

Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"

Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"

... Coming back to the comparison of solvers, our first experiment (Section 2) shows how different sets of hyper-parameters produce different behaviors for both CVM and SimpleSVM. We also give results with libSVM (Chang and ...

11

A REVIEW ON SVM TRAINING PHASE REDUCTION FOR MALWARE DETECTION

A REVIEW ON SVM TRAINING PHASE REDUCTION FOR MALWARE DETECTION

... False Positive Rate (FPR). This shows that opcode of sequence 2 is more representative than single opcodes , however the longer sequences decreases the accuracy. The opcodes generated are used as features for ...

5

Study on Parallel SVM Based on MapReduce

Study on Parallel SVM Based on MapReduce

... parallel SVM is based on the cascade SVM model. The SVM training is realized through partial ...parallel SVM model, large scale data optimization problems can be divided into ...

7

An ontology enhanced parallel SVM for scalable spam filter training

An ontology enhanced parallel SVM for scalable spam filter training

... optimized SVM kernels, decomposition techniques as well as via the application of distributed computing ...techniques. SVM approaches rely on the number of support vectors for ...overall training ...

26

Speech/Music Classification using SVM

Speech/Music Classification using SVM

... value SVM training is carried out. As a resultof the training data two model files will be created one for speechand the other for ...The SVM trains the audio data and createtwo models one for ...

6

BudgetedSVM: A Toolbox for Scalable SVM Approximations

BudgetedSVM: A Toolbox for Scalable SVM Approximations

... with training times orders of magnitude faster than RBF-SVM trained using ...and training times on binary classification tasks using several large-scale data sets (Wang et ...RBF-SVM ...

5

SVM Model for Influencing Factors of Financing

SVM Model for Influencing Factors of Financing

... the SVM model, so as to fit 24 indicators, and the gener- alization and precision formed after SVM training can reach a high-dimensional fitting network for the speci- fied ...Its training ...

5

—3D face recognition, 2DPCA, SVM

—3D face recognition, 2DPCA, SVM

... CASIA database contains 4674 three-dimensional facial surface images corresponding to 123 individuals, and there are 38 different images per each person. We were divided these 3D faces into disjoint training and ...

5

Handwritten Digit Recognition With Improved Svm

Handwritten Digit Recognition With Improved Svm

... database is divided into ten groups that are as equal as possible, 10-fold cross validation. Nine groups are set aside for the training set and one group for the dedicated testing set. This procedure is continued ...

5

A Survey on SVM Classifiers for Intrusion Detection

A Survey on SVM Classifiers for Intrusion Detection

... Support Vector Machines are binary classifiers in their basic form. Their theoretical advantages and their practical success motivated researchers to investigate extensions to multiclass problems. Tarun Ambwani reports ...

7

GAIT RECOGNITION USING SVM and NN

GAIT RECOGNITION USING SVM and NN

... of SVM is based on the idea of structural risk ...applications SVM has been introduced as a powerful tool for solving classification ...used SVM on gait recognition. It is to be noted that SVM ...

5

FACE DETECTION AND IDENTIFICATION USING SVM

FACE DETECTION AND IDENTIFICATION USING SVM

... The training points closest to the computed separating hyperplane are called support ...original SVM is a linear binary classifier, which is useful for two-class classification ...

6

Show all 10000 documents...

Related subjects