Travelled to:
4 × USA
Collaborated with:
∅ I.Zavorin E.Borovikov A.Borovikov E.Davis S.Andra G.Nagy C.Liu L.Hernández M.Turner N.Ramakrishnan P.Butler S.Muthiah N.Self R.P.Khandpur P.Saraf W.Wang J.Cadena A.Vullikanti G.Korkmaz C.J.Kuhlman A.Marathe L.Zhao T.Hua F.Chen C.Lu B.Huang A.Srinivasan K.Trinh L.Getoor G.Katz A.Doyle C.Ackermann J.Ford Y.Fayed J.Arredondo D.Gupta D.Mares
Talks about:
classif (3) document (2) improv (2) combin (2) handwritten (1) wordless (1) structur (1) recognit (1) frequenc (1) forecast (1)
Person: Kristen Maria Summers
DBLP: Summers:Kristen_Maria
Contributed to:
Wrote 5 papers:
- KDD-2014-RamakrishnanBMSKSWCVKKMZHCLHSTGKDAZFSFAGM #open source #using
- “Beating the news” with EMBERS: forecasting civil unrest using open source indicators (NR, PB, SM, NS, RPK, PS, WW, JC, AV, GK, CJK, AM, LZ, TH, FC, CTL, BH, AS, KT, LG, GK, AD, CA, IZ, JF, KMS, YF, JA, DG, DM), pp. 1799–1808.
- DRR-2008-ZavorinBDBS #classification #recognition #word
- Combining different classification approaches to improve off-line Arabic handwritten word recognition (IZ, EB, ED, AB, KMS), p. 681504.
- DRR-2007-AndraNLZBBHST #effectiveness
- Frequency coding: an effective method for combining dichotomizers (SA, GN, CLL, IZ, EB, AB, LH, KMS, MT).
- DRR-2003-Summers #classification #documentation #image #problem
- Document image improvment for OCR as a classification problem (KMS), pp. 73–83.
- ICDAR-v1-1995-Summers #classification #documentation
- Near-wordless document structure classification (KMS), pp. 462–465.