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Classifier-Mail published presentations and documents on DocSlides.

Done this week
Done this week
by alida-meadow
Image emotion classifier. Movie clips: sequence o...
Classification and Prediction:
Classification and Prediction:
by conchita-marotz
Ensemble Methods. Bamshad Mobasher. DePaul Univer...
Face Detection
Face Detection
by tatyana-admore
CSE 576. Face detection. State-of-the-art face de...
Coin Counter
Coin Counter
by liane-varnes
Andres . Uribe. what. Find out the amount of mone...
CS 277
CS 277
by alida-meadow
DataMining. Project . Presentation. Instructor. :...
Objectives:
Objectives:
by test
Bagging and Boosting. Cross-Validation. ML and Ba...
Boosting of classifiers
Boosting of classifiers
by tatiana-dople
Ata . Kaban. Motivation & beginnings. Suppose...
Learning Classifier Systems
Learning Classifier Systems
by min-jolicoeur
Mobile Robot Control. XCS and Implementation. XCS...
Lecture outline
Lecture outline
by jane-oiler
Classification. Naïve . Bayes. . c. lassifier. ...
Machine Learning – Classifiers and Boosting
Machine Learning – Classifiers and Boosting
by tatiana-dople
Reading. Ch. 18.6-18.12, 20.1-20.3.2. (Not Ch. 18...
Classifiers
Classifiers
by briana-ranney
Handshapes that represent people, objects, and de...
Part-of-speech tagging
Part-of-speech tagging
by sherrill-nordquist
Parts of Speech. Perhaps starting with Aristotle ...
CH 18.
CH 18.
by calandra-battersby
Adaptation. in brain-computer interfaces. Intr...
Wild Mushrooms Classification – Edible or Poisonous
Wild Mushrooms Classification – Edible or Poisonous
by myesha-ticknor
Yulin . Shen. ECE 539 Presentation. 2013 Fall. Mu...
Hinrich
Hinrich
by pasty-toler
. Schütze. and Christina . Lioma. Lecture . 15...
Done this week
Done this week
by jane-oiler
Image emotion classifier. “No emotion” class....
David Kauchak,
David Kauchak,
by test
CS311, Spring 2013. Linear Classifiers/SVMs. Admi...
Fast Readout of Object Identity from Macaque Inferior Tempo
Fast Readout of Object Identity from Macaque Inferior Tempo
by ellena-manuel
Chou P. Hung, Gabriel Kreiman,. Tomaso Poggio, Ja...
Automated Macular Pathology Diagnosis
Automated Macular Pathology Diagnosis
by test
in Retinal OCT Images. . Using Multi-Scale Spati...
Generic Object Detection using Feature Maps
Generic Object Detection using Feature Maps
by yoshiko-marsland
Oscar . Danielsson. (osda02@kth.se). Stefan . Ca...
Event Extraction Using Distant Supervision
Event Extraction Using Distant Supervision
by tawny-fly
Kevin Reschke, Martin . Jankowiak. , . Mihai. . ...
The Viola/Jones Face Detector
The Viola/Jones Face Detector
by lois-ondreau
A “paradigmatic” method for real-time object ...
Mapping Technical Communication:
Mapping Technical Communication:
by ellena-manuel
. Using SVM Classification to . Identify . Rheto...
One Simple Thing To Immediately Make Extreme Classification
One Simple Thing To Immediately Make Extreme Classification
by ellena-manuel
Find Out What Rachel McAdams and Harrison Ford ha...
Classification based on Association Rules
Classification based on Association Rules
by myesha-ticknor
Introduction. Association rules were originally d...
CS440/ECE448 Lecture 22:
CS440/ECE448 Lecture 22:
by jordyn
Linear Classifiers. Mark Hasegawa-Johnson, 3/2020....
Improving Human Action
Improving Human Action
by nicole
Recognition. using Score Distribution and Ranking....
Nawanol Theera-Ampornpunt,
Nawanol Theera-Ampornpunt,
by pagi
Seong. . Gon. Kim, . Asish. . Ghoshal. , Saurab...
Addressing the Medical Image Annotation Task using visual words representation
Addressing the Medical Image Annotation Task using visual words representation
by danya
Uri Avni , Tel Aviv University, Israel. Hayit. ...
W. Legnani, M. Baldiviezo
W. Legnani, M. Baldiviezo
by dorothy
, C. . Bontempo. , Y. Corsaro, F. Fernandez . Bian...
Classification Shailaja K.P
Classification Shailaja K.P
by madison
Introduction. Classification is a form of data ana...
Defenses Against Adversarial
Defenses Against Adversarial
by lucinda
Attacks. Haotian Wang. Ph.D. . . Student. Universi...
Training Image Classifiers with Similarity Metrics, Linear Programming, and Minimal Supervision
Training Image Classifiers with Similarity Metrics, Linear Programming, and Minimal Supervision
by emily
Asilomar. SSC. Karl . Ni, . Ethan Phelps, Katheri...
Master ASL Vocabulary Unit 5
Master ASL Vocabulary Unit 5
by roberts
School and Life Signs. Using the Agent Marker. Cla...
Model Evaluation Metrics for Performance Evaluation
Model Evaluation Metrics for Performance Evaluation
by bety
How to evaluate the performance of a model?. Metho...
DataTypes Nigel Davis 2019031
DataTypes Nigel Davis 2019031
by valerie
6. Metamodel. UML Superstructure Specification V2....
Computer Vision Spring 2010 15-385,-685
Computer Vision Spring 2010 15-385,-685
by norah
Instructor: S. . Narasimhan. WH 5409. T-R 10:30am ...
Face/Flesh Detection and Face Recognition
Face/Flesh Detection and Face Recognition
by sophie
Linda Shapiro. ECE P 596. 1. What’s Coming. Revi...
Identification of similarities and differences in water bodies in terms of photosynthetic activity
Identification of similarities and differences in water bodies in terms of photosynthetic activity
by morgan
Authors:. Sergei . Khruschev. , Roman . Chervitsov...
Data Analytics (CS61061)
Data Analytics (CS61061)
by sophia2
Dr. Debasis Samanta. Associate Professor. Departme...