Stem amount$ (all stems)

30 papers:

HT-2015-ChungL #framework #predict

A Long-Term Study of a Crowdfunding Platform: Predicting Project Success and Fundraising Amount (JC, KL), pp. 211–220.

DLT-2014-ReinhardtY

The Minimum Amount of Useful Space: New Results and New Directions (KR, AY), pp. 315–326.

ICPR-2014-WangCW #recognition

Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked Autoencoders (MW, YC, XW), pp. 3002–3007.

ICDAR-2013-ChiC #approach #recognition

Chinese Handwritten Legal Amount Recognition with HMM-Based Approach (BC, YC), pp. 778–782.

RE-2013-SavolainenHM #challenge #embedded #specification

Challenges in balancing the amount of solution information in requirement specifications for embedded products (JS, DH, MM), pp. 256–260.

CIKM-2012-ShirazipourazadBVSH #contest #how

Influence propagation in adversarial setting: how to defeat competition with least amount of investment (SS, BB, HV, AS, PH), pp. 585–594.

ICDAR-2011-ChenZN #generative #online #recognition #scalability

Effects of Generating a Large Amount of Artificial Patterns for On-line Handwritten Japanese Character Recognition (BC, BZ, MN), pp. 663–667.

ICDAR-2011-JayadevanKPP #database #development #recognition #word

Database Development and Recognition of Handwritten Devanagari Legal Amount Words (RJ, SRK, PMP, UP), pp. 304–308.

ICDAR-2011-LiuC #image

Binarizing the Courtesy Amount Field on Color Chinese Bank Check Images (DL, YC), pp. 774–778.

CIAA-2009-Freivalds #automaton #finite

Amount of Nonconstructivity in Finite Automata (RF), pp. 227–236.

ICPR-2008-DingSK #recognition

A new courtesy amount recognition module of a Check Reading System (WD, CYS, AK), pp. 1–4.

ICDAR-2007-ZiaratbanFE

Use of Legal Amount to Confirm or Correct the Courtesy Amount on Farsi Bank Checks (MZ, KF, ME), pp. 1123–1127.

DRR-2006-ZhangA #dataset #towards

Toward quantifying the amount of style in a dataset (XZ, SA).

ICPR-v2-2004-TangASBC #recognition

Recognition of Unconstrained Legal Amounts Handwritten on Chinese Bank Checks (HT, EA, CYS, OB, MC), pp. 610–613.

STOC-2003-GalR #bound

Lower bounds on the amount of randomness in private computation (AG, AR), pp. 659–666.

ICEIS-v4-2003-TyrvainenJS #case study #learning #on the

On Estimating the Amount of Learning Materials a Case Study (PT, MJ, AS), pp. 127–135.

CSCW-2002-VertegaalD #question

Explaining effects of eye gaze on mediated group conversations: : amount or synchronization? (RV, YD), pp. 41–48.

ICDAR-2001-KimKCS #recognition #segmentation

Legal Amount Recognition Based on the Segmentation Hypotheses for Bank Check Processing (KKK, JHK, YC, CYS), pp. 964–967.

ICDAR-2001-KogaMSF #2d #bottom-up #parsing #recognition #segmentation

A Recognition Method of Machine-Printed Monetary Amounts Based on the Two-Dimensional Segmentation and the Bottom-up Parsing (MK, RM, HS, HF), pp. 968–971.

ICDAR-2001-OliveiraSBS #composition

A Modular System to Recognize Numerical Amounts on Brazilian Bank Checks (LESdO, RS, FB, CYS), pp. 389–395.

ICDAR-2001-ZhouSL #approach

A Feedback-based Approach for Segmenting Handwritten Legal Amounts on Bank Cheques (JZ, CYS, KL), pp. 887–891.

CIKM-2000-JohoS #scalability

Retrieving Descriptive Phrases from Large Amounts of Free Text (HJ, MS), pp. 180–186.

ICDAR-1999-JeeKL #fault #using

Error Correction of Korean Courtesy Amounts in Bank Slips using Rule Information and cross-referencing (TCJ, EJK, YL), pp. 95–98.

ICPR-1998-KaufmannB #fault #locality #using

Amount translation and error localization in check processing using syntax-directed translation (GK, HB), pp. 1530–1534.

ICDAR-1997-Bippus #2d #pseudo #recognition

1-Dimensional and Pseudo 2-Dimensional HMMs for the Recognition of German Literal Amounts (RDB), pp. 487–490.

ICDAR-1997-YuST #recognition

Location and recognition of legal amounts on Chinese bank cheques (CLY, CYS, YYT), pp. 588–591.

ICPR-1996-Barbosa-PereiraHBMPCL #multi #recognition

Numeral amount recognition on multi-bank cheques (PBP, LH, OB, JVM, BP, PC, YL), pp. 165–169.

ICDAR-v1-1995-DodelS #recognition

Symbolic/neural recognition of cursive amounts on bank cheques (JPD, RS), pp. 15–18.

ICDAR-v1-1995-LethelierLG #automation

An automatic reading system for handwritten numeral amounts on French checks (EL, ML, MG), pp. 92–97.

ICDAR-v2-1995-AgarwalGHGW #detection

Detection of courtesy amount block on bank checks (AA, LG, KH, AG, PSPW), pp. 748–751.