Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs David Eppstein∗ Abstract dynamic closest pair problem. It can be solved by brute force 2 We develop data structures for dynamic closest pair

Source URL: bioinfo.ict.ac.cn

• Mathematics
• Statistics
• Applied mathematics
• Data mining
• Search algorithms
• Approximation algorithms
• Discrete geometry
• Nearest neighbor search
• Numerical analysis
• Hierarchical clustering
• Cluster analysis
• K-means clustering

This talk is divided into 7 parts. Part 1 begins with a quick look at the SSA optimization framework and global value numbering. Part 2 describes a well known brute force algorithm for GVN. Part 3 modifies this to arriv

Source URL: www.sable.mcgill.ca

• Compiler optimizations
• Search algorithms
• Arrays
• Global value numbering
• Static single assignment form
• Hash function
• Hash table
• Algorithm
• Lookup table
• Congruence

CS261: A Second Course in Algorithms Lecture #19: Beating Brute-Force Search∗ Tim Roughgarden† March 8, 2016 A popular myth is that, for N P -hard problems, there are no algorithms with worst-case running time better

Source URL: theory.stanford.edu

• NP-complete problems
• Computational complexity theory
• Analysis of algorithms
• Operations research
• NP-hard problems
• Vertex cover
• Travelling salesman problem
• Dynamic programming
• Parameterized complexity
• Independent set
• Algorithm
• 2-satisfiability

Permutation Search Methods are Efficient, Yet Faster Search is Possible Bilegsaikhan Naidan, Leonid Boytsov, and Eric Nyberg Problem

Source URL: acmsocc.github.io

Local Search for String Problems: Brute Force is Essentially Optimal Jiong Guo1? , Danny Hermelin2 , Christian Komusiewicz3 1 3

Source URL: fpt.akt.tu-berlin.de

SciFe: Scala Framework for Efficient Enumeration of Data Structures with Invariants Ivan Kuraj ABSTRACT We introduce SciFe, a tool for automated generation of complex structures, suitable for tasks such as automated test

Source URL: lara.epfl.ch

• Higher-order functions
• Search algorithms
• Data types
• Type theory
• Enumerated type
• Backtracking
• Generator
• Brute-force search
• Combinatory logic
• Computing
• Software engineering
• Computer programming

THUIR at NTCIR-11 IMine Task Subtopic Mining Cheng Luo, Xin Li, Alisher Khodzhaev, Fei Chen, Keyang Xu, Yujie Cao, Yiqun Liu, Min Zhang, Shaoping Ma Department of Computer Science and Technology,

Source URL: research.nii.ac.jp

• Information retrieval
• Natural language processing
• Machine learning
• Search algorithms
• Computational linguistics
• Learning to rank
• Brute-force search
• Bin
• Ranking
• Information science
• Science
• Artificial intelligence

Using CBR to Format an ES200x Paper

Source URL: tidel.mie.utoronto.ca

• Computing
• Constraint satisfaction problem
• Constraint satisfaction
• Local consistency
• Schedule
• Systems engineering process
• Brute-force search
• Backtracking
• Constraint programming
• Software engineering
• Computer programming

LNCSEnhanced CAPTCHAs: Using Animation to Tell Humans and Computers Apart

Source URL: www.fp6-noah.org

• Artificial intelligence
• Alan Turing
• Transaction authentication number
• Challenge-response authentication
• Turing test
• Brute-force attack
• HTTP cookie
• Brute-force search
• Virtual Network Computing
• CAPTCHA
• System software
• Computing

Local Search for String Problems: Brute Force is Essentially Optimal Jiong Guo, Danny Hermelin, Christian Komusiewicz Universit¨ at des Saarlandes, Ben-Gurion University, TU Berlin & Universit´

Source URL: www.cs.ucr.edu

• Coding theory
• Analysis of algorithms
• Computational complexity theory
• Closest string
• Hamming distance
• Time complexity
• Algorithmica
• Theoretical computer science
• Applied mathematics
• NP-complete problems