Additional, optional reading is also listed below. The references are resolved in the Course materials.
Key to notation:|
Date |
Topic |
Lecture Notes | >
Homework/Reading Assignment | >
Optional Reading |
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Aug 24 |
Orientation, Introduction |
Reading: Kohonen Ch3, due Aug 31 |
Haykin Ch9.1-9.6 |
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| Aug 26 | Review of the basic SOM, EM | EMvis-2 | Reading: Kohonen Ch3 Refresh Competitive Learning from ELEC/CPOMP 502 Refresh SOM exercises from 502 |
Haykin Ch9.1-9.6 | ||||||||
| Aug 31 | Review of the basic SOM, EM Discuss SOM exercises |
EMvis-3 |
Reading assignment: for class on Sep 2, 7; no reviews:
Ultsch&Siemon, 1990; Cottrell&deBodt, 1995; Kraaijveld et al., 1995 |
Haykin Ch9.1-9.6 | ||||||||
| Sep 2 |
Review of basic SOM, cont'd, SOM visualizations, DAT |
DATvis |
Reading assignment: for class on Sep 14 Tennenbaum et al., 2000, no review; Review assignment: Sammon, 1969, due Sep 14 |
Haykin Ch9.1-9.6 | ||||||||
| Sep 7 | Review of the basic SOM LVQ refresher, AG |
AGvis | Reading: Kohonen Ch3, Kohonen, 1990 Refresh Learning Vector Quantization, from ELEC/CPOMP 502 and from paper Kohonen, 1990 |
Haykin Ch9.1-9.6 | ||||||||
| Sep 9 | Review of the basic SOM, wrap-up discussion of simulations |
EMvis | paper Kohonen, 1990 | |||||||||
| Sep 14 | Constructive proof of SOM ordering, DAT Gold standards: Sammon's mapping, TV |
TVvis |
Experiment assignment: Use the MATLAB function for Sammon's mapping,
apply to one of the {uniform or 4 Gaussians} AND one of the {iris or 6-D synthetic spectral image},
compare results with KSOM. Do the same with the ISOMAP MATLAB implementation. Results to be discussed in class on Sep 23, 5-7 minutes per student. reading assignment: for classes on Sep 21, 23 DeSieno, 1988; NeuralWare, Neural Computation, SOM; (by Sep 21) Review assignment: Kangas et al, 1990, due Sep 23 |
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| Sep 16 |
Gold standards:
ISOMAP, AG |
AGvis |
reading assignment: due today Tennenbaum et al., 2000, no review; |
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| Sep 21 | Variants of SOMS: Conscience SOM, EM; Discuss leftover issues from previous classes; |
EMvis |
Experiment assignment: Implement conscince SOM,
learn the same data as with KSOM,
compare behavior and results. (Choose one or two of the uniform, 4 Gaussians, Iris, 6-D spectral cube data sets.) Results to be discussed in class on Sep 28, 5-7 minutes per student. |
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| Sep 23 | Variants of SOMs: scaled distances (Kangas et al. 1990), TV Discussion of Sammons / ISOMAP / KSOM simulations. |
TVvis, EMvis | reading assignment:
Martinetz & Schulten, 1994 (for classes Sep 28 and 30) Linde, Buzo, Gray, 1980 (for class on Sep 30) Review assignment: Martinetz & Schulten, 1994, due Sep 30 |
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| Sep 28 | Topology Representing Networks, EM | student-vis, EMvis | reading assignment:
Martinetz & Schulten, 1994; Linde, Buzo, Gray, 1980 (cont'd) |
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| Sep 30 |
Topology Representing Networks, cont'd, EM Discussion of KSOM vs Conscience SOM simulations. Lead: TV |
EMvis | reading assignment:
Martinetz & Schulten, 1994; Linde, Buzo, Gray, 1980 (cont'd) |
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| Oct 5 |
LBG (K-means): comparison with SOM, DAT |
DATvis | reading assignment:
Martinetz & Schulten, 1994; Linde, Buzo, Gray, 1980 (cont'd) Review assignment: Martinetz & Schulten, 1994, due now |
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| Oct 7 |
Topology Preservation in SOMs, EM |
EMvis | reading assignment:
Villmann et al, 1997 due; Bauer and Pawelzik, 1992 |
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| Oct 12 |
Fall recess, NO CLASS |
reading assignment:
Villmann et al, 1997. Read *thoroughly* | ||||||||||
| Oct 14 |
PCA networks: Oja and Sanger's GHA, DAT and All |
DATvis | reading assignment:
502 handouts Exercise: run GHA, compare with MATLAB PCA specifics will be given in class Results to be discussed in class on Oct 21, ~ 10 minutes per student. |
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| Oct 19 |
Clinic period |
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| Oct 21 |
Students present GHA simulation reults Topology representation and preservation, cont'd: CONN and CONNvis, EM |
EMvis | reading assignment:
Tasdemir&Merenyi, TNN 2009 Discussion of GHA experiment results due, ~ 10 minutes per student. |
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| Oct 26 |
Magnification in neural maps, EM |
EMvis | reading assignment:
Bauer, Der, Hermann, 1996 |
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| Oct 28 |
Clinic period |
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| Nov 2 |
Magnification of the Kohonen SOM, AG |
AGvis | reading assignment due:
Ritter & Schulten, 1986 reading assignment for upcoming classes: Ritter, IEEE TNN 1991 (Asymptotic level density ...); VanHulle and D. Martinez, IEEE TNN 1994 (BAR algorithm); Dersch and Tavan, IEEE TNN 1995; T. Martinetz et al., IEEE TNN 1993; (Neural Gas) Merenyi et al., IEEE TNN 2007; (Magnification for "forbidden" data) Review assignment: Pick two papers from Ritter TNN 1991, VanHulle and Martinez, 1994, and Dersch and Tavan, 1995. (Exclude what you present.) Due Nov 11 |
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| Nov 4 |
Issues related to map magnification: Asymptotic level density, TV Neighborhood effects, DAT |
TVvis, DATvis | reading assignment due:
Ritter, IEEE TNN 1991 (Asymptotic level density ...); Dersch and Tavan, IEEE TNN 1995; reading assignment, continued: T. Martinetz et al., IEEE TNN 1993; (Neural Gas) Merenyi et al., IEEE TNN 2007; (Magnification for "forbidden" data) |
Nov 9 |
SOM-hybrid classification and regression; Real applications, high-d cases, EM |
EMvis | reading assignment: Fardanesh and Ersoy; Sashahani and Landgrebe | |||||
| Nov 11 |
Discussion of mini-projects; Round-table |
EMvis | reading assignment: Fardanesh and Ersoy; Sashahani and Landgrebe | |||||||||
| Nov 16 |
The use of unlabeled data in supervised classification, BDB |
BDBvis |
Reding assignment due: Fardanesh and Ersoy; Sashahani and Landgrebe; |
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| Nov 18 |
Neural ICA, EEPP network, SMV |
SMVvis | reading assignment: Girolami and Fyfe, Neural Networks 10(9), pp 1607-1618, 1997. | |||||||||
| Nov 23 |
Growing Self-Organizing Map, GSOM, BDB Practical issues for projects. |
BDBvis | reading assignment:
Bauer and Villmann, IEEE TNN 1997 (GSOM paper) |
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| Nov 25 |
NO CLASS (Thanksgiving) |
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| Nov 30 |
Factor Analysis with non-linear PCA nets, EM |
EMvis | ||||||||||
| Dec 2 |
Class project presentations |
Approx. 15 min + 5 minutes for discussion, for each talk Turn in hardcopy and soft copy of your presentation. Project write-ups are due Dec 10. | ||||||||||
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