Boosted Locality Sensitive Hashing: Discriminative, Efficient, and Scalable Binary Codes for Source Separation

Keyphrases

• Binary Codes 100%
• Locality Sensitive Hashing 100%
• Source Separation 100%
• Denoising 60%
• Hashing 40%
• Compact Binaries 40%
• Speech in Noise 40%
• Speech Denoising 40%
• Hash Algorithm 40%
• Hash Code 40%
• Weak Learner 40%
• Binary Features 40%
• Single Channel 20%
• Dictionary 20%
• Feature Space 20%
• K-nearest 20%
• Classification Results 20%
• Hashing Method 20%
• Binary Classification 20%
• Nonlinear Kernels 20%
• Speech Spectrum 20%
• Bitstring 20%
• Hamming Distance 20%
• Feature Representation 20%
• Binary Representation 20%
• Resource-constrained Environment 20%
• Boosting Approach 20%
• Random Projection 20%
• Neighborhood Search 20%
• Fourier Spectrum 20%
• Deep Neural Network 20%
• Supervised Learning Algorithms 20%
• Self-similarity Matrix 20%
• AdaBoost Algorithm 20%
• Nearest Neighborhood Search 20%
• Audio Spectrum 20%
• Ideal Binary Mask 20%
• Bitwise Operation 20%
• Adaptive Boosting 20%
• Model Deployment 20%
• Simple Logistic 20%
• Discriminative Representation 20%
• Mel Spectrum 20%
• Logistic Regressor 20%
• Binary Hash Code 20%

Computer Science

• de-noising 100%
• Locality Sensitive Hashing 100%
• Source Separation 100%
• Hashing Algorithm 40%
• Binary Feature 40%
• Experimental Result 20%
• Feature Space 20%
• Learning Algorithm 20%
• Hashing Method 20%
• Binary Classification 20%
• classification result 20%
• Hamming Distance 20%
• Constrained Environment 20%
• Supervised Learning 20%
• Random Projection 20%
• Similarity Matrix 20%
• Deep Neural Network 20%
• Deployment Model 20%
• Search Neighborhood 20%
• Binary Representation 20%
• Adaboost Algorithm 20%
• adaptive boosting 20%