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Smurf The God Stronger (2:30 min) 30.06.2026 - 13:47:47 Julia Wolf Deep End (2:49 min) 30.06.2026 - 13:44:42 Automatic Is It Now? (3:09 min) 30.06.2026 - 13:42:18 Tennis Cape Dory (2:23 min) 30.06.2026 - [...] GUT AUS (2:12 min) 30.06.2026 - 17:38:49 Soft Loft F U WANT IT (3:33 min) 30.06.2026 - 17:33:47 Click Click Decker Mit Naumanns Füßen (live) (5:21 min) 30.06.2026 - 17:30:49 Figur Lemur Wannja (2:44 min) [...] Plush Crush (3:55 min) 30.06.2026 - 15:09:59 Vince Staples White Flag (2:34 min) 30.06.2026 - 15:07:25 One Last Time Believer (2:37 min) 30.06.2026 - 15:03:35 Charlie Cunningham An Opening (3:51 min) 30 …

Unvorhersagbarkeit eines Ereignisses. H X =− ∑ i=1 ∣{rot ,blau}∣ pi⋅log2 pi  H X =−0,6log20,60,4log20,4≈0,97 H X =−log21=0 Bei der (möglichst) Gleichverteilung wird die maximale Entropie [...] and Segmentation09.10.07 3 Vorwort (2) Beispiele 1. Rolle Erkennung: Person Roman Organi- sation 2. Übersetzung aus dem englischen: by an bis mit 0,9 0,1 0,3 0,5 0,2 S O O S Zahlen sind die Wahscheinlickeiten [...] Information Extraction and Segmentation09.10.07 22 Viterbi Algorithmus Zeitachse s1 s2 s3 1 s2= max s ´∈S {0s ´ ⋅P s ´ s2∣o1} t1 s = max s ´∈S {t s ´ ⋅P s ´ s∣ot1} Maximum Entropy Markov Models …

DeepLearning on FPGAs - Introduction to FPGAs

fx = bXfl ·2Nrc+bX ′fl ·2Nrc = b(Xfl+X ′ fl) ·2Nrc Multiplication/Division Correct scaling Xfx ·X ′ fx = bXfl · 2Nrc · bX ′fl · 2Nrc = b(Xfl ·X ′ fl) · (2Nr · 2Nr)c ⇒ X ′′ fx = Xfx ·X ′ fx · 2−Nr DeepLearning [...] fx = bXfl ·2Nrc+bX ′fl ·2Nrc = b(Xfl+X ′ fl) ·2Nrc Multiplication/Division Correct scaling Xfx ·X ′ fx = bXfl · 2Nrc · bX ′fl · 2Nrc = b(Xfl ·X ′ fl) · (2Nr · 2Nr)c ⇒ X ′′ fx = Xfx ·X ′ fx · 2−Nr DeepLearning [...] Nl .X(−1)X(−2)X(−3)X(−4)︸ ︷︷ ︸ Nr Implementation As scaled integer of size Nt, e.g. char for 8 bit Fixed → float: Xfl = Nl∑ i=0 X(i)2 i + −Nr∑ i=−1 X(−i)2 −i Float → fixed: Xfx = bXfl · 2Nrc use shift …

DeepLearning on FPGAs - Introduction to FPGAs

fx = bXfl ·2Nrc+bX ′fl ·2Nrc = b(Xfl+X ′ fl) ·2Nrc Multiplication/Division Correct scaling Xfx ·X ′ fx = bXfl · 2Nrc · bX ′fl · 2Nrc = b(Xfl ·X ′ fl) · (2Nr · 2Nr)c ⇒ X ′′ fx = Xfx ·X ′ fx · 2−Nr DeepLearning [...] fx = bXfl ·2Nrc+bX ′fl ·2Nrc = b(Xfl+X ′ fl) ·2Nrc Multiplication/Division Correct scaling Xfx ·X ′ fx = bXfl · 2Nrc · bX ′fl · 2Nrc = b(Xfl ·X ′ fl) · (2Nr · 2Nr)c ⇒ X ′′ fx = Xfx ·X ′ fx · 2−Nr DeepLearning [...] Nl .X(−1)X(−2)X(−3)X(−4)︸ ︷︷ ︸ Nr Implementation As scaled integer of size Nt, e.g. char for 8 bit Fixed → float: Xfl = Nl∑ i=0 X(i)2 i + −Nr∑ i=−1 X(−i)2 −i Float → fixed: Xfx = bXfl · 2Nrc use shift …

following way : similMatrix(s1, s2) = Pm i=1 min(s1i , s2i). For instance, with two sequences s1 and s2 in the matrix of Fig- ure 1, this sum is: s1a + s2b + s2c = 1 + 0 + 1 = 2. Sometimes, the alignment has [...] , and so of L 2(R). The basis functions are constructed as follows: ψj,n(x) = 2− j 2 ψ(2−j x− n), n ∈ Z Therefore, L2(R) is decomposed into an infinite sequence of wavelet spaces, i.e.L2(R) = L j∈Z Wj [...] the space L 2(R) consists of a sequence of nested subspaces such as: ... ⊂ V2 ⊂ V1 ⊂ V0 ⊂ V−1... ⊂ Vj+1 ⊂ Vj ... S j∈Z Vj = L 2(R) T j∈Z Vj = {0} ∀j ∈ Z if f(x) ∈ Vj ⇐⇒ f(2−1 x) ∈ Vj+1 ( or f(2j x) ∈ V0) …