Travelled to:
1 × Austria
1 × India
1 × Japan
1 × Spain
1 × Sweden
1 × USA
1 × United Kingdom
2 × Canada
Collaborated with:
E.Oja V.Vuori J.Kangas M.Koskela M.Aksela V.Viitaniemi M.Karppa S.S.Brandt M.Sjöberg S.Ishikawa L.Holmström P.Koistinen
Talks about:
handwritten (5) charact (5) adapt (4) line (4) base (4) recognit (3) classifi (3) retriev (3) imag (3) prototyp (2)
Person: Jorma Laaksonen
DBLP: Laaksonen:Jorma
Contributed to:
Wrote 12 papers:
- ICPR-2014-ViitaniemiKL
- Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos (VV, MK, JL), pp. 2584–2589.
- ICPR-2012-SjobergKIL #classification #concept #detection #linear #realtime #scalability #visual notation
- Real-time large-scale visual concept detection with linear classifiers (MS, MK, SI, JL), pp. 421–424.
- 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.
- ICPR-v3-2002-VuoriL #automation #clustering #comparison
- A Comparison of Techniques for Automatic Clustering of Handwritten Characters (VV, JL), pp. 168–171.
- 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-1996-HolmstromKLO #classification #network #statistics
- Neural network and statistical perspectives of classification (LH, PK, JL, EO), pp. 286–290.