Travelled to:1 × Australia
1 × Austria
1 × Canada
1 × India
1 × Spain
1 × USA
2 × United Kingdom
Collaborated with:J.Laaksonen J.Kangas V.Vuori M.Koskela Z.Yang M.Aksela K.Valkealahti S.S.Brandt A.Hyvärinen P.O.Hoyer J.Hurri L.Holmström P.Koistinen
Talks about:handwritten (4) charact (4) adapt (4) line (4) imag (4) base (4) recognit (3) retriev (3) prototyp (2) committe (2)
Person: Erkki Oja
DBLP: Oja:Erkki
Contributed to:
2012
20042002
20012000199919981996Wrote 12 papers:
- ICML-2012-YangO #clustering #composition #matrix #probability #rank
- Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (ZY, EO), p. 94.
- ICPR-v2-2004-KoskelaLO #clustering #image #metric #retrieval
- Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval (MK, JL, EO), pp. 1005–1009.
- ICPR-v2-2002-KoskelaLO #image #retrieval #self #using
- Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps (MK, JL, EO), pp. 1049–1052.
- ICDAR-2001-AkselaLOK #adaptation #classification
- Rejection Methods for an Adaptive Committee Classifier (MA, JL, EO, JK), pp. 982–986.
- ICDAR-2001-VuoriLOK #online #prototype #recognition #set
- Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set (VV, JL, EO, JK), pp. 501–507.
- ICPR-v2-2000-BrandLO #image #retrieval #statistics
- Statistical Shape Features in Content-Based Image Retrieval (SSB, JL, EO), pp. 6062–6066.
- ICPR-v2-2000-VuoriLOK #adaptation #classification #online #prototype
- Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters (VV, JL, EO, JK), pp. 2331–2334.
- ICDAR-1999-LaaksonenAOK #adaptation #online #recognition
- Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters (JL, MA, EO, JK), pp. 796–799.
- ICDAR-1999-VuoriLOK #adaptation #online #recognition
- On-line Adaptation in Recognition of Handwritten Alphanumeric Characters (VV, JL, EO, JK), pp. 792–795.
- ICPR-1998-HyvarinenOHH #analysis #component #feature model #image #independence
- Image feature extraction by sparse coding and independent component analysis (AH, EO, POH, JH), pp. 1268–1273.
- ICPR-1998-ValkealahtiO #multi
- Reduced multidimensional histograms in color texture description (KV, EO), pp. 1057–1061.
- ICPR-1996-HolmstromKLO #classification #network #statistics
- Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.