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Rasmus Pagh
2010 – today
- 2013
[j14]Fabiano C. Botelho, Rasmus Pagh, Nivio Ziviani: Practical perfect hashing in nearly optimal space. Inf. Syst. 38(1): 108-131 (2013)
[c43]Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh: On parallelizing matrix multiplication by the column-row method. ALENEX 2013: 122-132
[c42]Konstantin Kutzkov, Rasmus Pagh: On the streaming complexity of computing local clustering coefficients. WSDM 2013: 677-686
[i22]Rasmus Pagh, Gil Segev, Udi Wieder: How to Approximate A Set Without Knowing Its Size In Advance. CoRR abs/1304.1188 (2013)- 2012
[j13]Rasmus Pagh, Charalampos E. Tsourakakis: Colorful triangle counting and a MapReduce implementation. Inf. Process. Lett. 112(7): 277-281 (2012)
[j12]Andrea Campagna, Rasmus Pagh: Finding associations and computing similarity via biased pair sampling. Knowl. Inf. Syst. 31(3): 505-526 (2012)
[c41]
[c40]
[c39]Kasper Green Larsen, Rasmus Pagh: I/O-efficient data structures for colored range and prefix reporting. SODA 2012: 583-592
[i21]
[i20]Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh: On Parallelizing Matrix Multiplication by the Column-Row Method. CoRR abs/1210.0461 (2012)- 2011
[j11]Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Sebastiano Vigna: Theory and practice of monotone minimal perfect hashing. ACM Journal of Experimental Algorithmics 16 (2011)
[j10]Anna Pagh, Rasmus Pagh, Milan Ruzic: Linear Probing with 5-wise Independence. SIAM Review 53(3): 547-558 (2011)
[c38]Andrea Campagna, Konstantin Kutzkov, Rasmus Pagh: Frequent Pairs in Data Streams: Exploiting Parallelism and Skew. ICDM Workshops 2011: 145-150
[c37]Rasmus Resen Amossen, Rasmus Pagh: A New Data Layout for Set Intersection on GPUs. IPDPS 2011: 698-708
[i19]Rasmus Resen Amossen, Rasmus Pagh: A New Data Layout For Set Intersection on GPUs. CoRR abs/1102.1003 (2011)
[i18]Rasmus Pagh, Charalampos E. Tsourakakis: Colorful Triangle Counting and a MapReduce Implementation. CoRR abs/1103.6073 (2011)
[i17]Kasper Green Larsen, Rasmus Pagh: I/O-Efficient Data Structures for Colored Range and Prefix Reporting. CoRR abs/1104.3084 (2011)
[i16]- 2010
[c36]Rasmus Resen Amossen, Andrea Campagna, Rasmus Pagh: Better Size Estimation for Sparse Matrix Products. APPROX-RANDOM 2010: 406-419
[c35]Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Sebastiano Vigna: Fast Prefix Search in Little Space, with Applications. ESA (1) 2010: 427-438
[c34]Martin Dietzfelbinger, Andreas Goerdt, Michael Mitzenmacher, Andrea Montanari, Rasmus Pagh, Michael Rink: Tight Thresholds for Cuckoo Hashing via XORSAT. ICALP (1) 2010: 213-225
[c33]Andrea Campagna, Rasmus Pagh: On Finding Similar Items in a Stream of Transactions. ICDM Workshops 2010: 121-128
[c32]
[c31]
[i15]Andrea Campagna, Rasmus Pagh: On Finding Frequent Patterns in Directed Acyclic Graphs. CoRR abs/1005.0239 (2010)
[i14]Rasmus Resen Amossen, Andrea Campagna, Rasmus Pagh: Better size estimation for sparse matrix products. CoRR abs/1006.4173 (2010)
[i13]Andrea Campagna, Rasmus Pagh: On Finding Frequent Patterns in Event Sequences. CoRR abs/1010.2358 (2010)
[i12]Andrea Campagna, Rasmus Pagh: On Finding Similar Items in a Stream of Transactions. CoRR abs/1010.2371 (2010)
2000 – 2009
- 2009
[j9]
[j8]Anna Pagh, Rasmus Pagh, Milan Ruzic: Linear Probing with Constant Independence. SIAM J. Comput. 39(3): 1107-1120 (2009)
[c30]Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Sebastiano Vigna: Theory and Practise of Monotone Minimal Perfect Hashing. ALENEX 2009: 132-144
[c29]Jóhannes B. Hreinsson, Morten Krøyer, Rasmus Pagh: Storing a Compressed Function with Constant Time Access. ESA 2009: 730-741
[c28]Andrea Campagna, Rasmus Pagh: Finding Associations and Computing Similarity via Biased Pair Sampling. ICDM 2009: 61-70
[c27]Rasmus Resen Amossen, Rasmus Pagh: Faster join-projects and sparse matrix multiplications. ICDT 2009: 121-126
[c26]Rasmus Pagh, Srinivasa Rao Satti: Secondary indexing in one dimension: beyond b-trees and bitmap indexes. PODS 2009: 177-186
[c25]Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Sebastiano Vigna: Monotone minimal perfect hashing: searching a sorted table with O(1) accesses. SODA 2009: 785-794
[i11]Andrea Campagna, Rasmus Pagh: Finding Associations and Computing Similarity via Biased Pair Sampling. CoRR abs/0910.0112 (2009)
[i10]Martin Dietzfelbinger, Andreas Goerdt, Michael Mitzenmacher, Andrea Montanari, Rasmus Pagh, Michael Rink: Tight Thresholds for Cuckoo Hashing via XORSAT. CoRR abs/0912.0287 (2009)- 2008
[j7]Morten Skaarup Jensen, Rasmus Pagh: Optimality in External Memory Hashing. Algorithmica 52(3): 403-411 (2008)
[j6]Anna Pagh, Rasmus Pagh: Uniform Hashing in Constant Time and Optimal Space. SIAM J. Comput. 38(1): 85-96 (2008)
[c24]Martin Dietzfelbinger, Rasmus Pagh: Succinct Data Structures for Retrieval and Approximate Membership (Extended Abstract). ICALP (1) 2008: 385-396
[r1]
[i9]Martin Dietzfelbinger, Rasmus Pagh: Succinct Data Structures for Retrieval and Approximate Membership. CoRR abs/0803.3693 (2008)
[i8]Rasmus Pagh, S. Srinivasa Rao: Secondary Indexing in One Dimension: Beyond B-trees and Bitmap Indexes. CoRR abs/0811.2904 (2008)- 2007
[c23]Philip Bille, Anna Pagh, Rasmus Pagh: Fast Evaluation of Union-Intersection Expressions. ISAAC 2007: 739-750
[c22]
[c21]Fabiano C. Botelho, Rasmus Pagh, Nivio Ziviani: Simple and Space-Efficient Minimal Perfect Hash Functions. WADS 2007: 139-150
[i7]Philip Bille, Anna Pagh, Rasmus Pagh: Fast evaluation of union-intersection expressions. CoRR abs/0708.3259 (2007)
[i6]Fabiano C. Botelho, Rasmus Pagh, Nivio Ziviani: Perfect Hashing for Data Management Applications. CoRR abs/cs/0702159 (2007)
[i5]Peter Tiedemann, Henrik Reif Andersen, Rasmus Pagh: Generic Global Constraints based on MDDs. CoRR abs/cs/0702170 (2007)- 2006
[c20]Erik D. Demaine, Friedhelm Meyer auf der Heide, Rasmus Pagh, Mihai Patrascu: De Dictionariis Dynamicis Pauco Spatio Utentibus (lat. On Dynamic Dictionaries Using Little Space). LATIN 2006: 349-361
[c19]
[c18]Mette Berger, Esben Rune Hansen, Rasmus Pagh, Mihai Patrascu, Milan Ruzic, Peter Tiedemann: Deterministic load balancing and dictionaries in the parallel disk model. SPAA 2006: 299-307
[c17]Rolf Fagerberg, Anna Pagh, Rasmus Pagh: External String Sorting: Faster and Cache-Oblivious. STACS 2006: 68-79
[i4]Peter Tiedemann, Henrik Reif Andersen, Rasmus Pagh: A Generic Global Constraint based on MDDs. CoRR abs/cs/0611141 (2006)
[i3]Anna Pagh, Rasmus Pagh, Milan Ruzic: Linear Probing with Constant Independence. CoRR abs/cs/0612055 (2006)- 2005
[j5]Dimitris Fotakis, Rasmus Pagh, Peter Sanders, Paul G. Spirakis: Space Efficient Hash Tables with Worst Case Constant Access Time. Theory Comput. Syst. 38(2): 229-248 (2005)
[c16]
[c15]Christian Worm Mortensen, Rasmus Pagh, Mihai Patrascu: On dynamic range reporting in one dimension. STOC 2005: 104-111
[i2]Christian Worm Mortensen, Rasmus Pagh, Mihai Patrascu: On Dynamic Range Reporting in One Dimension. CoRR abs/cs/0502032 (2005)
[i1]Erik D. Demaine, Friedhelm Meyer auf der Heide, Rasmus Pagh, Mihai Patrascu: De Dictionariis Dynamicis Pauco Spatio Utentibus. CoRR abs/cs/0512081 (2005)- 2004
[j4]
[c14]- 2003
[c13]Dimitris Fotakis, Rasmus Pagh, Peter Sanders, Paul G. Spirakis: Space Efficient Hash Tables with Worst Case Constant Access Time. STACS 2003: 271-282
[c12]- 2002
[c11]
[c10]
[c9]Rasmus Pagh, Jakob Pagter: Optimal time-space trade-offs for non-comparison-based sorting. SODA 2002: 9-18- 2001
[j3]Torben Hagerup, Peter Bro Miltersen, Rasmus Pagh: Deterministic Dictionaries. J. Algorithms 41(1): 69-85 (2001)
[j2]Rasmus Pagh: Low Redundancy in Static Dictionaries with Constant Query Time. SIAM J. Comput. 31(2): 353-363 (2001)
[c8]
[c7]
[c6]- 2000
[j1]Rasmus Pagh: A Trade-Off for Worst-Case Efficient Dictionaries. Nord. J. Comput. 7(3): 151-163 (2000)
[c5]
[c4]
[c3]
1990 – 1999
- 1999
[c2]Rasmus Pagh: Low Redundancy in Static Dictionaries with O(1) Worst Case Lookup Time. ICALP 1999: 595-604
[c1]Rasmus Pagh: Hash and Displace: Efficient Evaluation of Minimal Perfect Hash Functions. WADS 1999: 49-54
Coauthor Index
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last updated on 2013-06-12 21:33 CEST by the dblp team



