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1 Introduction Problem Definition Existing Methods 2 Scalable Graph Hashing with Feature Transformation Motivation Model and Learning Experiment 3 Conclusion 4 Reference
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1 Introduction 2 Learning to Hash Isotropic Hashing Supervised Hashing with Latent Factor Models Supervised Multimodal Hashing with SCM Multiple-Bit Quantization 3 Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction Distributed Power-Law Graph Computing 4 Stochastic Learning Distributed Stochastic ADMM
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1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing Model Learning Experiment 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference
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1 Introduction Problem Definition Existing Methods Motivation and Contribution 2 Isotropic Hashing Model Learning Experimental Results 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference
文档格式:PPTX 文档大小:1.61MB 文档页数:57
I. Program Analysis II. Data Flow Analysis ✓ Available Expressions ✓ Liveness Analysis ✓ Reaching Definitions ✓ Very Busy Expressions III.Theory Behind IV. Sensitivity V. Summary
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• To learn to regularize irregular data with – Limiting variations with clamping – Sorting – Transposition • To learn to write a high-performance SpMV kernel based on JDS transposed format • To learn the key techniques for compacting input data in parallel sparse methods for reduced consumption of memory bandwidth – Better utilization of on-chip memory – Fewer bytes transferred to on-chip memory – Better utilization of global memory – Challenge: retaining regularity
文档格式:PPTX 文档大小:3.92MB 文档页数:50
《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(PPT课件,第3版)Chapter 02 Data Warehousing
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(PPT课件,第3版)Chapter 06 Big Data and Analytics
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(PPT课件,第3版)Chapter 04 Data Mining
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Chapter 9 Objectives After you have read and studied this chapter you should be able to Manipulate a collection of data values using an array. Declare and use an array of primitive data types in writing a program. Declare and use an array of objects in writing a program. Describe how a two-dimensional array is implemented as an array of arrays. Manipulate a collection of objects using a vector. Use MultiInputBox object from the javabook package to input an array of strings
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