Mustela est genus mustelidarum, ad quod pertinent minima mammalia ordinis carnivororum, velut mustela nivalis ac mus ponticus.
Index
1Descriptio
2Species
3Notae
4Nexus interni
5Nexus externi
Descriptio |
Mustelarum longitudo a capite usque ad truncum extremum variatur inter quindecim et triginta centimetra; quae longitudinis illarum cauda dimidiam fere partem efficit. Habent plerumque ventrum album, dum tergoris caudaeque color secundum tempus saepe variatur.
Harum bestiarum genus a Carolo Linnaeo describitur his verbis: "Dentes Primores superiores VI, erecti, acutiores, distincti. Inferiores VI obtusiores conferti: duo interiores. Lingua laevis."[1]
Species |
Adhuc agnoscuntur huius generis species septendecim[2], scilicet:
Mustela africana
Mustela altaica
Mustela erminea
Mustela eversmannii
Mustela felipei
Mustela frenata
Mustela itatsi
Mustela kathiah
Mustela lutreola
Mustela lutreolina
Mustela nigripes
Mustela nivalis
Mustela nudipes
Mustela putorius
Mustela sibirica
Mustela strigidorsa
Mustela subpalmata
Notae |
↑Carolus Linnaeus, «Mustela» in Systema naturae, ed. 12 (inter 1766 et 1768), Holmiae: impensis Laurentii Salvi, p. 66.
↑"Mustela". apud Integrated Taxonomic Information System
Nexus interni
Mustelidae
Nexus externi |
Situs scientifici: • ITIS • NCBI • Biodiversity • Encyclopedia of Life • Marine Species • Fossilworks
Vicimedia Communia plura habent quae ad Mustelam spectant.
Vide Mustelam apud Vicispecies.
Nicolaus Gross, «Galeologia» in Epistulis Leoninis numeris 74 et 75 (Aº 2014):
Tabula multilinguis Rosettana in Museo Britannico ostenditur. Tabula Rosettana, [1] etiam titulo OGIS 90 agnita, est stela decreto de rebus sacris in Aegypto anno 196 a.C.n. lato inscripta. Tabula iuxta Rosettam Aegypti, urbem in delta Nili et ad oram maris Mediterranei iacentem, anno 1799 a milite Francico reperta est. Inventio stelae, linguis duabus scripturisque tribus inscriptae, eruditis Instituti Aegypti statim nuntiata est; ibi enim iussu imperatoris Napoleonis eruditi omnium scientiarum (sub aegide Commissionis Scientiarum et Artium) properaverant cum expeditione Francica. Qua a Britannis mox debellata, tabula Rosettana Londinium missa hodie apud Museum Britannicum iacet. Textus Graecus cito lectus interpretationi textuum Aegyptiorum (in formis hieroglyphica et demotica expressorum) gradatim adiuvit. Denique textum plene interpretatus est Ioannes Franciscus Champollion. Ab opere eruditorum cumulativo coepit hodiernus scripturae hieroglyphicae linguaeque Aegyptiae a...
1
$begingroup$
This is what I mean as document text image: I want to label the texts in image as separate blocks and my model should detect these labels as classes. NOTE: This is how the end result should be like: The labels like Block 1, Block 2, Block 3,.. should be Logo, Title, Date,.. Others, etc. Work done: First approach : I tried to implement this method via Object Detection, it didn't work. It didn't even detect any text. Second approach : Then I tried it using PixelLink. As this model is build for scene text detection, it detected each and every text in the image. But this method can detect multiple lines of text if the threshold values are increased. But I have no idea how do I add labels to the text blocks. PIXEL_CLS_WEIGHT_all_ones = 'PIXEL_CLS_WEIGHT_all_ones' PIXEL_C...
1
$begingroup$
I have this LSTM model model = Sequential() model.add(Masking(mask_value=0, input_shape=(timesteps, features))) model.add(LSTM(100, dropout=0.2, recurrent_dropout=0.2, return_sequences=False)) model.add(Dense(features, activation='softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy']) and shapes X_train (21, 11, 5), y_train (21, 5) . Each timestep is represented by 5 features and return_sequences is set to False because I want to predict one 5D array (the next timestep) for each input sequence of 11 timesteps. I get the error ValueError: y_true and y_pred have different number of output (5!=1) If I reshape the data as X_train (21, 11, 5), y_train (21, 1, 5) instead I get the error ValueError: Inva...
