Random Projection
Regularization by Intrinsic Plasticity and Its Synergies with Recurrence for Random Projection Methods
... the random projection method and we will therefore propose a method to make performance more robust with respect to the choice of the output regulariza- ...
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Dual Random Projection for Linear Support Vector Machine
... the Random Projections (RP) method can quickly and effectively solve the dimensionality problem of high-dimensional data in order to reduce the computational cost of related optimization ...problems. Random ...
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Random Projection for Linear 2 norm Support Vector Machine
... This paper develops two significant theorems of L2-SVM under random projection. We prove that the geometric margin and the minimum enclosing ball in the projected space are preserved with high probability ...
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Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection
... Random projection has been suggested as a means of space mapping, where a projection matrix is composed of the columns defined by the random values chosen from a probability distri- ...the ...
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Image recovery from noisy random projection using dictionary learning technique
... be random projection method. When compared to the conventional random projection, double random projection gives more accurate results with reduced computational ...double ...
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Implementation of random projection filter and decision tree J48 for lung cancer detection
... Random Projection (RP) has developed as a great strategy for diminishing the ...make random projection more robust [Kun Liu and Hillol Kargupta ...
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1. Tensor ring decomposition for visual data denoising via tensor random projection
... the projection of the band-mode will largely reduce the computational cost and running ...matrix random projection and often used in HSI reconstruction and denoising is also ...The projection ...
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Quasi cyclic Random Projection Code and Hardware Implementation
... module partition, avoid access conflict of memory read and write, simplify probability information transmission in the iteration process, and not cause decoding performance loss. The cyclic-shift times of each sub-matrix ...
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Random Projection and Geometrization of String Distance Metrics
... by Random Indexing can attribute an D-dimensional geometric coordinate to any character N-gram present in the corpus and can subsequently represent the word as a sum of N-gram fragments which the string ...by ...
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Accelerating Stochastic Random Projection Neural Networks
... Artificial Neural Network (ANN), a computational model based on the biological neural networks, has a recent resurgence in machine intelligence with breakthrough results in pattern recognition, speech recognition, and ...
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Motif Detection Using Numerical Data Optimization Technique in ECG Signals
... The accuracy oriented results show the significant improvement in the proposed method, which has been compared against the two nearest contenders on the basis of the variable upper bound and lower bound ranges. ...
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Fast and Discriminative Semantic Embedding
... extends random projection by weighting and projecting raw term embeddings orthogonally to an average language vector, thus improving the dis- criminating power of resulting term embeddings, and build more ...
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COSIMA data analysis using multivariate techniques
... Random projection is suitable to map even a very high di- mensional data set into a reduced dimension which still re- tains the most important features of the original data but is small enough to be ...
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Consolidate Data Collecting Based On Even Clustering For Wireless Sensor Networks
... selecting projection nodes as cluster heads to collect the weighted sum of sensor nodes outperforms the non- CS (without using CS) and hybrid-CS (applying CS only to relay nodes that are overloaded) schemes in ...
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A Study on Data Perturbation Techniques in Privacy Preserving Data Mining
... and random projection perturbation are all threatened by prior- knowledge enabled Independent Component Analysis Multidimensional-anonymization is only designed for general-purpose utility preservation and ...
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Efficient techniques for genotype‐phenotype correlational analysis
... complexity. Random projection has been used to project the data onto a lower dimensional ...dom projection technique has not been employed before in the area of SNPs ...
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Motif Detection Using Numerical Data Optimization Technique in ECG Signals
... The accuracy oriented results show the significant improvement in the proposed method, which has been compared against the two nearest contenders on the basis of the variable upper bound and lower bound ranges. ...
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Efficient Access of Cloud Storage with Confidentiality by RASP Data Perturbation
... With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be ...
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Optimized Projection Matrix for Compressive Sensing
... of random linear projections that mix the ...designed projection matrix can further improve the CS ...the projection matrix so as to minimize the coherence between Φ and Ψ based on ETF ...designed ...
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Fast neighbor search with keywords
... Keyword-based search in text-rich multi-dimensional datasets facilitates many novel applications and tools. In this paper, we consider objects that are tagged with keywords and are embedded in a vector space. For these ...
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