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Mukhopadhyay - Deep Generative Models 4th Miccai Workshop Dgm4micca - S9000z

Description: Comments - Pages Count - 00224. This item is NOT Returnable. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. Location ID 9000z iHaveit SKU ID 167677015

Price: 89.93 USD

Location: US

End Time: 2024-11-27T12:46:14.000Z

Shipping Cost: 0 USD

Product Images

Mukhopadhyay - Deep Generative Models  4th Miccai Workshop Dgm4micca - S9000z

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Brand: NA

Style: NA

Artist: MukhopadhyayAnirban

Title: Deep Generative Models 4th Miccai Workshop Dgm4miccai 2024 Hel

Release Title: Deep Generative Models 4th Miccai Workshop Dgm4miccai 2024 Hel

Record Label: SPRINGER

Record Grading: New

Sleeve Grading: New

Film/TV Title: Deep Generative Models 4th Miccai Workshop Dgm4miccai 2024 Hel

Movie/TV Title: Deep Generative Models 4th Miccai Workshop Dgm4miccai 2024 He

UPC: 9783031727436

EAN: 9783031727436

Item Height: 0.0

Main Stone: NA

Metal Purity: NA

Metal: NA

Connectivity: NA

Model: NA

Number of Pages: Xi, 224 Pages

Language: English

Publication Name: Deep Generative Models : 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

Publisher: Springer

Publication Year: 2024

Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition

Type: Textbook

Item Length: 9.3 in

Subject Area: Mathematics, Computers

Author: Ilkay Oksuz

Item Width: 6.1 in

Series: Lecture Notes in Computer Science Ser.

Format: Trade Paperback

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