Travelled to:1 × Canada
3 × USA
Collaborated with:N.Ueda T.Yamada T.Iwata K.Aoyama H.Sawada P.Langley D.George S.D.Bay
Talks about:model (2) data (2) neighborhood (1) subscript (1) recommend (1) parametr (1) categori (1) approxim (1) similar (1) process (1)
Person: Kazumi Saito
DBLP: Saito:Kazumi
Contributed to:
20112006
20032002Wrote 5 papers:
- KDD-2011-AoyamaSSU #approximate #graph #performance #similarity
- Fast approximate similarity search based on degree-reduced neighborhood graphs (KA, KS, HS, NU), pp. 1055–1063.
- KDD-2006-IwataSY #recommendation
- Recommendation method for extending subscription periods (TI, KS, TY), pp. 574–579.
- ICML-2003-LangleyGBS #induction #modelling #process #robust
- Robust Induction of Process Models from Time-Series Data (PL, DG, SDB, KS), pp. 432–439.
- ICML-2003-YamadaSU #network
- Cross-Entropy Directed Embedding of Network Data (TY, KS, NU), pp. 832–839.
- KDD-2002-UedaS #category theory #detection #modelling #multi #parametricity #using
- Single-shot detection of multiple categories of text using parametric mixture models (NU, KS), pp. 626–631.