The Johnson-Lindenstrauss Lemma and the sphericity of some graphs
Journal of Combinatorial Theory Series A
Approximate nearest neighbors: towards removing the curse of dimensionality
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Database-friendly random projections
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Algorithmic derandomization via complexity theory
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Derandomized dimensionality reduction with applications
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Learning Mixtures of Gaussians
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Very sparse random projections
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Journal of Biomedical Informatics - Special section: JAMA commentaries
Embeddings of surfaces, curves, and moving points in euclidean space
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
Nearest-neighbor-preserving embeddings
ACM Transactions on Algorithms (TALG)
Very sparse stable random projections for dimension reduction in lα (0
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Estimators and tail bounds for dimension reduction in lα (0
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Ultra-low-dimensional embeddings for doubling metrics
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
A Uniform Lower Error Bound for Half-Space Learning
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Compressive-projection principal component analysis
IEEE Transactions on Image Processing
Compressed sensing with cross validation
IEEE Transactions on Information Theory
Random Projection RBF Nets for Multidimensional Density Estimation
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Ultra-low-dimensional embeddings for doubling metrics
Journal of the ACM (JACM)
Sketching information divergences
COLT'07 Proceedings of the 20th annual conference on Learning theory
Fast directional algorithms for the Helmholtz kernel
Journal of Computational and Applied Mathematics
A sparse Johnson: Lindenstrauss transform
Proceedings of the forty-second ACM symposium on Theory of computing
Fully decentralized computation of aggregates over data streams
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques
Compressed fisher linear discriminant analysis: classification of randomly projected data
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
The Journal of Machine Learning Research
On the distance concentration awareness of certain data reduction techniques
Pattern Recognition
Clustering with random indexing K-tree and XML structure
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Compressed learning with regular concept
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Enhancing Clustering Quality through Landmark-Based Dimensionality Reduction
ACM Transactions on Knowledge Discovery from Data (TKDD)
Two-dimensional random projection
Signal Processing
Fully decentralized computation of aggregates over data streams
ACM SIGKDD Explorations Newsletter
Applications of dimensionality reduction and exponential sums to graph automorphism
Theoretical Computer Science
Almost optimal explicit Johnson-Lindenstrauss families
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
Acceleration of randomized Kaczmarz method via the Johnson---Lindenstrauss Lemma
Numerical Algorithms
Negation for document re-ranking in ad-hoc retrieval
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Sparser Johnson-Lindenstrauss transforms
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Optimal bounds for Johnson-Lindenstrauss transforms and streaming problems with sub-constant error
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Dimensionality reduction: beyond the Johnson-Lindenstrauss bound
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Sorted random projections for robust rotation-invariant texture classification
Pattern Recognition
Derandomization of dimensionality reduction and SDP based algorithms
WADS'05 Proceedings of the 9th international conference on Algorithms and Data Structures
A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces
Pattern Recognition Letters
Random projection, margins, kernels, and feature-selection
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
Randomized Algorithms for Matrices and Data
Foundations and Trends® in Machine Learning
Block-Based Compressed Sensing of Images and Video
Foundations and Trends in Signal Processing
Spam detection using Random Boost
Pattern Recognition Letters
Faster and simpler width-independent parallel algorithms for positive semidefinite programming
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
Explicit Dimension Reduction and Its Applications
SIAM Journal on Computing
Iterative random projections for high-dimensional data clustering
Pattern Recognition Letters
Robust re-identification using randomness and statistical learning: Quo vadis
Pattern Recognition Letters
LIMSI: learning semantic similarity by selecting random word subsets
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Optimal lower bound for differentially private multi-party aggregation
ESA'12 Proceedings of the 20th Annual European conference on Algorithms
Optimal Bounds for Johnson-Lindenstrauss Transforms and Streaming Problems with Subconstant Error
ACM Transactions on Algorithms (TALG) - Special Issue on SODA'11
Sparsity lower bounds for dimensionality reducing maps
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Enabling advanced inference on sensor nodes through direct use of compressively-sensed signals
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Sparser Johnson-Lindenstrauss Transforms
Journal of the ACM (JACM)
A random projection approach for estimation of the betweenness centrality measure
Intelligent Data Analysis
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A result of Johnson and Lindenstrauss [13] shows that a set of n points in high dimensional Euclidean space can be mapped into an O(log n/ε2)-dimensional Euclidean space such that the distance between any two points changes by only a factor of (1 ± ε). In this note, we prove this theorem using elementary probabilistic techniques.